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− | <div class="publicationheader"> | + | <div class="publicationheader">check out our latest COVID-19 outbreak predictions </div> |
− | < | + | college campuses are COVID-19 superspreaders [https://www.forbes.com/sites/mishagajewski/2021/01/13/college-campuses-are-covid-19-superspreaders-study-says/?sh=2578217052fd forbes], [https://www.usnews.com/news/health-news/articles/2021-01-13/college-campuses-are-covid-superspreaders-study-finds US news & world report]<br> |
− | + | are colleges superspreaders [https://www.insidehighered.com/news/2021/01/13/college-openings-led-increase-community-cases-research-says inside higher ed]<br> | |
− | + | college campuses can be superspreaders? [https://academictimes.com/college-campuses-can-be-superspreaders-but-safe-reopening-possible-study/ academic times]<br> | |
− | + | are college campuses COVID-19 superspreaders? [https://newsroom.taylorandfrancisgroup.com/new-study-suggests-that-college-campuses-are-covid-19-superspreaders/ t&f press release], [https://www.upi.com/Health_News/2021/01/13/College-campuses-may-be-COVID-19-super-spreaders-study-finds/5661610548574/ united press international]<br> | |
− | + | new study suggests that campuses are COVID-19 superspreaders [https://www.eurekalert.org/pub_releases/2021-01/tfg-nss011121.php eurekalert!], [https://consumer.healthday.com/b-1-13-study-confirms-college-campuses-as-super-spreader-centers-2649875013.html healthday]<br> | |
− | + | les campus universitaires sont des super-epandeurs [https://www.crumpi.com/2021/01/13/les-campus-universitaires-sont-des-super-epandeurs-de-covid-19-les-epidemies-sur-les-campus-locaux-se-propagent-rapidement-dans-tout-le-comte/ crumpi]<br> | |
− | + | reopening college campuses could initiate superspreading [https://www.news-medical.net/news/20201224/Reopening-college-campuses-could-initiate-COVID-19-superspreading.aspx med life sciences]<br> | |
− | + | a new class explores how to safely reopen a campus during covid-19 [https://engineering.stanford.edu/magazine/article/new-class-explores-how-safely-reopen-campus-during-covid-19 stanford report] [http://biomechanics.stanford.edu/paper/CMECH20b.pdf reopening paper]<br> | |
− | + | data-driven modeling of covid-19-lessons learned. | |
− | + | [http://biomechanics.stanford.edu/paper/EML081220.jpg webinar announcement] | |
− | + | [https://www.youtube.com/watch?v=lBMPfltcDqs&feature=youtu.be webinar] | |
− | + | [http://biomechanics.stanford.edu/paper/EML20.pdf paper] <br> | |
− | + | what will happen if we can't produce a vaccine? [https://theconversation.com/coronavirus-what-will-happen-if-we-cant-produce-a-vaccine-144307 the conversation] <br> | |
− | + | MD testifies about covid-19 transmission risks of lifting NL travel ban [https://www.cbc.ca/news/canada/newfoundland-labrador/travel-ban-challenge-august6-1.5676159 cbc] [http://biomechanics.stanford.edu/paper/CMECH20b.pdf cmech paper] <br> | |
− | + | NL doctor testifies about covid-19 transmission risks of lifting travel ban | |
− | + | [https://atlantic.ctvnews.ca/n-l-doctor-testifies-about-covid-19-transmission-risks-of-lifting-travel-ban-1.5053257 atlantic ctv news] [http://biomechanics.stanford.edu/paper/CMECH20b.pdf cmech paper] <br> | |
− | + | pandemie: des chercheurs du RU s'interessent au cas de TNL | |
− | + | [https://ici.radio-canada.ca/premiere/emissions/l-heure-de-pointe-acadie/episodes/473091/rattrapage-du-lundi-3-aout-2020 radio canada] [https://www.medrxiv.org/content/10.1101/2020.07.16.20155614v1 medRxiv paper]<br> | |
− | + | how COVID-19 spread has been contained by travel bans [https://www.sciencedaily.com/releases/2020/05/200504191018.htm science daily] [https://infosurhoy.com/news-summary/how-covid-19-spread-has-been-contained-by-travel-bans/ infosurhoy] [http://biomechanics.stanford.edu/paper/CMBBE20.pdf cmbbe paper] <br> | |
− | + | is it safe to lift COVID-19 travel bans? | |
− | + | [https://www.news-medical.net/news/20200721/Keeping-out-COVID-19-in-Newfoundland.aspx medical life sciences] [https://www.medrxiv.org/content/10.1101/2020.07.16.20155614v1 the newfoundland story] <br> | |
− | + | covid-19 travel restrictions have saved millions of people [https://www.health24.com/Medical/Infectious-diseases/Coronavirus/covid-19-travel-restrictions-have-saved-millions-of-people-from-being-infected-mathematical-modelling-shows-20200507-2 health24 ] [https://medrxiv.org/cgi/content/short/2020.05.01.20088047v1 medRxiv Rvalues]<br> | |
− | + | how COVID-19 spread has been contained by travel bans [https://newsroom.taylorandfrancisgroup.com/how-covid-19-spread-has-been-contained-by-travel-bans/# press release] [http://biomechanics.stanford.edu/paper/CMBBE20.pdf cmbbe paper] [https://www.medrxiv.org/content/10.1101/2020.06.13.20130658v1 mobility paper]<br> | |
− | + | was haben die grenzschliessungen tatsachlich gebracht? [https://www.srf.ch/news/schweiz/kampf-gegen-das-coronavirus-was-haben-die-grenzschliessungen-tatsaechlich-gebracht swiss public radio] <br> | |
− | + | wie sinnvoll sind reisebeschrankungen wirklich? [https://www.welt.de/vermischtes/article207810451/Corona-Krise-und-Grenzen-Wie-sinnvoll-sind-Reisebeschraenkungen-wirklich.html welt] [http://biomechanics.stanford.edu/paper/CMBBE20.pdf cmbbe paper] <br> | |
− | + | so bremsen reisebeschrankungen das coronavirus aus [https://www.mdr.de/wissen/corona-reise-verbot-eindaemmung-covid-modell-100.html mdr wissen] [https://medrxiv.org/cgi/content/short/2020.05.01.20088047v1 medRxiv Rvalues]<br> | |
− | + | using math to understand COVID-19 outbreak dynamics [https://med.stanford.edu/cvi/mission/news_center/articles_announcements/using-math-to-understand-covid-19-outbreak-dynamics.html stanford medicine] [http://biomechanics.stanford.edu/paper/BMMB20.pdf bmmb paper] | |
− | + | [https://www.medrxiv.org/content/10.1101/2020.05.23.20111419v1 asymptomatic]<br> | |
− | + | predict covid's spread and recovery [https://engineering.stanford.edu/magazine/article/brain-inspired-model-can-help-predict-covid-s-spread-and-recovery?sf120699572=1 stanford engineering] [https://www.medrxiv.org/content/10.1101/2020.04.06.20055863v2 medRxiv in the us] [https://medrxiv.org/cgi/content/short/2020.04.18.20071035v1 medRxiv in europe]<br> | |
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− | <div class="publicationheader">in the | + | <div class="publicationheader">in the news </div> |
+ | AI offers paradigm shift in study of brain injury | ||
+ | [https://news.stanford.edu/2023/03/01/ai-offers-paradigm-shift-study-brain-injury stanford news] <br> | ||
+ | passionate scientist and triathlete [https://www.fau.eu/2019/07/26/news/research/passionate-scientist-and-triathlete interview] <br> | ||
+ | simulation of complex brain surgery with a personalized brain model [http://biomechanics.stanford.edu/paper/BENCH19.pdf benchmark feature] <br> | ||
+ | a physical model for neurodegenerative disease [https://physics.aps.org/articles/v11/104 physics focus] <br> | ||
+ | stanford-led team simulates how alzheimer’s disease spreads through the brain [https://news.stanford.edu/2018/10/12/new-simulation-shows-alzheimers-spreads/ stanford report] <br> | ||
+ | 4 awesome discoveries you probably didn't hear about this week [https://www.youtube.com/watch?v=8JOBaU4EtYQ&feature=youtu.be nsf]<br> | ||
+ | connecting the dots of alzheimer’s disease [https://scopeblog.stanford.edu/2018/10/15/connecting-the-dots-of-alzheimers-disease/ scope feature] [https://aimbe.org/college-of-fellows/COF-1663/ aimbe feature]<br> | ||
+ | model maps domino effect of alzheimer’s protein misfolding [https://www.futurity.org/alzheimers-disease-protein-misfolding-1894042/ futury]<br> | ||
+ | team simulates how alzheimer's disease spreads through the brain | ||
+ | [https://phys.org/news/2018-10-team-simulates-alzheimer-disease-brain.html phys.org] | ||
+ | [https://newsline.com/2018/10/12/team-simulates-how-alzheimers-disease-spreads-through-the-brain/ newsline] | ||
+ | [https://17ok.org/science/team-simulates-alzheimer-disease-spreads-brain-28266266 17ok] <br> | ||
+ | video shows how alzheimer's might kill brain cells | ||
+ | [https://www.newsweek.com/video-shows-how-alzheimers-might-kill-brain-cells-1119858?utm_source=Public&utm_medium=Feed&utm_campaign=Distribution newsweek]<br> | ||
+ | new research may totally turn understanding of dementia on its head [https://www.biospace.com/article/new-research-may-totally-turn-our-understanding-of-dementia-on-its-head/?s=88 biospace]<br> | ||
+ | how alzheimer's spreads in brain captured by computer model [https://www.newsmax.com/thewire/alzheimers-spread-computer-model/2018/10/15/id/886281/ newsmax]<br> | ||
+ | new simulation shows how alzheimer’s spreads | ||
+ | [https://www.myscience.org/news/2018/new_simulation_shows_how_alzheimer_s_spreads-2018-stanford my science]<br> | ||
+ | researchers model how toxic proteins course through the brain [https://www.stevens.edu/news/researchers-model-how-toxic-proteins-course-through-brain stevens news]<br> | ||
+ | digital brain model reveals how toxic proteins cause brain diseases [https://www.medindia.net/news/healthinfocus/digital-brain-model-reveals-how-toxic-proteins-cause-brain-diseases-183070-1.htm medindia]<br> | ||
+ | researchers model how toxic proteins course through the brain, lead to disease | ||
+ | [https://phys.org/news/2018-10-toxic-proteins-brain-disease.html phys.org]<br> | ||
+ | this is a brain taken over by alzheimer's [https://gizmodo.com/this-is-a-brain-taken-over-by-alzheimers-1829718478 gizmodo] <br> | ||
+ | un modele informatique simule la facon dont la maladie d’alzheimer se propage [https://www.gurumed.org/2018/10/16/un-modle-informatique-simule-la-faon-dont-la-maladie-dalzheimer-se-propage-dans-le-cerveau/ recherche]<br> | ||
+ | Ученые визуализировали развитие нейродегенеративных заболеваний [https://nplus1.ru/news/2018/10/15/progression-multiphysics n+1]<br> | ||
+ | mechanical forces may underlie brain's development and some diseases [https://news.stanford.edu/2018/02/02/mechanical-forces-may-underlie-brains-development-diseases/ stanford report]<br> | ||
+ | gehirnmechanik? [http://biomechanics.stanford.edu/paper/GAMM18.pdf gamm rundbrief 01/18]<br> | ||
+ | skin wrinkling featured on the cover of soft matter [http://biomechanics.stanford.edu/paper/SOFTM18cover.pdf soft matter]<br> | ||
+ | hyperion innovation excellence award goes to ubercloud and stanford living heart project [https://insidehpc.com/2017/11/hyperion-innovation-excellence-award-goes-ubercloud-stanford-living-heart-project/ inside hpc]<br> | ||
+ | hpc wire editors' choice award for best use of hpc in the cloud [https://www.theubercloud.com/ubercloud-and-stanford-living-heart-project-win-prestigious-awards-from-intel-hpcwire-and-hyperion-for-cloud-hpc-at-sc17/ hpc wire] [http://biomechanics.stanford.edu/paper/CMBBE18.pdf drug paper]<br> | ||
+ | stanford and ubercloud take living heart simulations to the cloud | ||
+ | [https://blog.theubercloud.com/stanford-and-ubercloud-take-living-heart-simulations-to-the-cloud uber cloud]<br> | ||
+ | physical model of skull growth [https://physics-aps-org.stanford.idm.oclc.org/articles/v10/67 prl focus]<br> | ||
+ | geometry, skull growth and brain mechanics [https://phys.org/news/2017-06-geometry-skull-growth-brain-mechanics.html phys.org]<br> | ||
+ | stanford researchers design new brain simulation tool [https://www.youtube.com/watch?v=MCMz02Hq9dI youtube]<br> | ||
+ | stanford simulator predicts brain swelling to guide surgeons | ||
+ | [https://www.engadget.com/2016/10/06/stanford-simulator-predicts-brain-swelling-to-guide-surgeons/ engadget] <br> | ||
+ | new brain simulator helps surgeons plan operations [http://www.i4u.com/2016/10/115998/new-brain-simulator-helps-surgeons-plan-operations i4u] <br> | ||
+ | the inner strain on the brain | ||
+ | [http://news.stanford.edu/2016/09/27/stanford-led-team-simulates-inner-strain-brain-better-plan-surgery/ stanford report], [https://scienceblog.com/488245/team-simulates-inner-strain-brain-better-plan-surgery/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+scienceblogrssfeed+%28ScienceBlog.com%29 science blog], [http://phys.org/news/2016-09-team-simulates-strain-brain-surgery.html phys org] <br> | ||
+ | maths gives insights into damage during brain surgery | ||
+ | [http://www.ox.ac.uk/news/science-blog/maths-gives-new-insights-damage-caused-during-brain-surgery oxford science blog], [http://neurosciencenews.com/math-brain-damage-neurosurgery-5141/ neuroscience news] <br> | ||
+ | simulating inner strain that causes brains to bulge [http://physicsworld.com/cws/article/news/2016/sep/28/simulating-inner-strain-that-causes-brains-to-bulge physics world] <br> | ||
+ | when the brain bulges | ||
+ | [http://physicsbuzz.physicscentral.com/2016/09/when-brain-bulges-stressful-impact-of.html?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+physicscentral%2FPhysicsBuzz+%28Physics+Buzz%29 physics buzz]<br> | ||
+ | medical image segmentation for simulating brain surgery [https://www.synopsys.com/simpleware/news-and-events/simulating-brain-surgery.html synopsys feature]<br> | ||
+ | understanding damage during brain surgery [https://www.maths.ox.ac.uk/node/16515 oxford math]<br> | ||
+ | unfolding the brain [http://www.latimes.com/science/sciencenow/la-sci-sn-folded-brain-3d-printing-20160201-story.html feature on brain folding], [http://www.chicagotribune.com/lifestyles/health/ct-3d-brain-printing-20160202-story.html brains], [http://www.ibtimes.co.uk/folded-structure-human-brain-determined-by-physical-growth-process-rather-biology-1541306 and more brains], [http://www.spektrum.de/news/wie-sich-das-hirn-in-falten-legt/1397613 und gehirne]<br> | ||
+ | feature on our bioX seed grant on [http://scopeblog.stanford.edu/2016/02/25/do-the-brains-intricate-folds-hold-clues-to-autism/ stanford scope] <br> | ||
+ | research within the living heart project [http://biomechanics.stanford.edu/paper/LivingHeartEK.mp4 living heart video], [https://www.youtube.com/watch?v=KJIiJKtKCUo on 3ds youtube]<br> | ||
+ | computing the gut [http://biomechanics.stanford.edu/paper/BCR16.pdf biomedical computation review] <br> | ||
+ | international brain mechanics and trauma lab [https://www.youtube.com/watch?v=cNVdyUJMAAM ibmtl video] <br> | ||
+ | mechanical engineering magazine [http://biomechanics.stanford.edu/paper/MEheart.pdf the digital heart] <br> | ||
+ | boston globe [http://www.betaboston.com/news/2015/05/06/living-heart-project-brings-a-beat-to-3-d/?p1=Carousel_Feature living heart project brings a beat to 3d] <br> | ||
+ | american physical society - spotlight exceptional research [http://physics.aps.org/synopsis-for/10.1103/PhysRevLett.113.248101 getting the wrinkles out] <br> | ||
+ | the living heart project - emily's story [https://www.youtube.com/watch?v=6hsx_da1vVs the living heart project] <br> | ||
+ | simulating stanford students [http://biomechanics.stanford.edu/paper/SIMULIA16.pdf community news] <br> | ||
+ | skin growth's role in reconstructive surgery [http://www.youtube.com/watch?v=t3yGW5c5tys simbios video] <br> | ||
+ | researchers envision switching a heart beat on and off with light [http://www.nsf.gov/discoveries/disc_summ.jsp?cntn_id=129057 NSF discovery]<br> | ||
frontiers in growth and remodeling [http://advancesinengineering.com/mechanical-engineering/frontiers-in-growth-and-remodeling/ advances in engineering]<br> | frontiers in growth and remodeling [http://advancesinengineering.com/mechanical-engineering/frontiers-in-growth-and-remodeling/ advances in engineering]<br> | ||
the science of light and vision [http://www.scienceupdate.com/2011/11/podcast-for-4-november-2011/ AAAS science update 11/04/11] <br> | the science of light and vision [http://www.scienceupdate.com/2011/11/podcast-for-4-november-2011/ AAAS science update 11/04/11] <br> | ||
light-based pace maker [http://www.scienceupdate.com/2011/11/light/ AAAS science update 11/16/11] <br> | light-based pace maker [http://www.scienceupdate.com/2011/11/light/ AAAS science update 11/16/11] <br> | ||
first human heart cells that can be paced with light [http://med.stanford.edu/ism/2011/september/cardiomyocyte.html here] <br> | first human heart cells that can be paced with light [http://med.stanford.edu/ism/2011/september/cardiomyocyte.html here] <br> | ||
− | das herz schlägt heller [http://biomechanics.stanford.edu/paper/Deutschlandfunk.mp3 | + | das herz schlägt heller [http://biomechanics.stanford.edu/paper/Deutschlandfunk.mp3 deutschlandfunk 01/04/12] [http://www.dradio.de/dlf/sendungen/forschak/1644510/ full text] <br> |
− | under the hood [http://biomedicalcomputationreview.org/7/1/ | + | under the hood [http://biomedicalcomputationreview.org/7/1/12.pdf biomedical computation review spring 2011] <br> |
check out our stanford e14 statics course on youtube [http://www.youtube.com/watch?v=lgQwfL_LTFY here] <br> | check out our stanford e14 statics course on youtube [http://www.youtube.com/watch?v=lgQwfL_LTFY here] <br> | ||
and the eth zurich statics version [http://www.youtube.com/watch?v=brzKndsq4I0 here] | and the eth zurich statics version [http://www.youtube.com/watch?v=brzKndsq4I0 here] | ||
− | <div class="publicationheader"> | + | <div class="publicationheader">2024</div> |
− | + | St. Pierre SR, Darwin EC, Adil D, Aviles MC, Date A, Dunne RA, Lall Y, Parra Vallecillo M, Perez Medina VA, Linka K, Levenston ME, Kuhl E. | |
− | + | Got meat? The mechanical signature of plant-based and animal meat. | |
− | + | 2024; doi:10.1101/2024.04.25.591207. | |
− | [ | + | [https://biomechanics.stanford.edu/paper/bioRxiv24.pdf (download)] |
+ | [https://www.biorxiv.org/content/10.1101/2024.04.25.591207v1 (bioRxiv)] | ||
− | + | Linka K, Kuhl E. Best-in-class modeling: A novel strategy to discover constitutive models for soft matter systems. 2024; doi:10.48550/arXiv.2404.06725. | |
− | + | [https://biomechanics.stanford.edu/paper/ARXIV24.pdf (download)] | |
− | + | [https://arxiv.org/abs/2404.06725 (arXiv)] | |
− | [ | + | |
− | + | St Pierre SR, Kaczmarski B, Peirlinck M, Kuhl E. | |
− | + | Sex-specific cardiovascular risk factors in the UK Biobank. | |
− | + | Front Physiology 2024; 15: 1339866. | |
− | + | [https://biomechanics.stanford.edu/paper/FRONT24.pdf (download)] | |
− | [ | + | [https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2024.1339866/full (frontiers)] |
− | + | McCulloch JA, St. Pierre SR, Linka K, Kuhl E. | |
− | On | + | On sparse regression, Lp-regularization, and automated model discovery. |
− | + | Int J Num Meth Eng 2024; e7481. | |
− | [ | + | [https://biomechanics.stanford.edu/paper/IJNME24.pdf (download)] |
+ | [https://onlinelibrary.wiley.com/doi/full/10.1002/nme.7481 (ijnme)] | ||
− | + | Kuhl E, Goriely A. | |
− | + | I too love I2: A new class of hyperelastic isotropic incompressible models based solely on the second invariant. | |
− | + | J Mech Phys Solids. 2024; 188: 105670. | |
− | [ | + | [https://biomechanics.stanford.edu/paper/JMPS24.pdf (download)] |
+ | [https://www.sciencedirect.com/science/article/pii/S0022509624001364 (jmps)] | ||
− | + | Martonova D, Peirlinck M, Linka K, Holzapfel GA, Leyendecker S, Kuhl E. | |
− | + | Automated model discovery for human cardiac tissue: | |
− | + | Discovering the best model and parameters. | |
− | [ | + | bioRxiv. 2024. doi:10.1101/2024.02.27.582427. |
+ | [https://biomechanics.stanford.edu/paper/BIORXIV24.pdf (download)] | ||
+ | [https://www.biorxiv.org/content/10.1101/2024.02.27.582427v1 (bioRxiv)] | ||
− | Rausch MK, Famaey N, O' | + | Peirlinck M, Linka K, Hurtado JA, Holzapfel GA, Kuhl E. |
− | + | Democratizing biomedical simulation through automated model discovery and a universal material subroutine. | |
− | [http://biomechanics.stanford.edu/paper/ | + | bioRxiv. 2023; doi:10.1101/2023.12.06.570487. |
+ | [https://biomechanics.stanford.edu/paper/bioRxiv23a.pdf (download)] | ||
+ | [https://www.biorxiv.org/content/10.1101/2023.12.06.570487v1 (bioRxiv)] | ||
+ | |||
+ | Peirlinck M, Hurtado JA, Rausch MK, Buganza Tepole A, Kuhl E. | ||
+ | A universal material model subroutine for soft matter systems. | ||
+ | [https://biomechanics.stanford.edu/paper/ARXIV24b.pdf (download)] | ||
+ | [https://arxiv.org/abs/2404.13144 (arXiv)] | ||
+ | |||
+ | Kaczmarski B, Leanza S, Zhao R, Kuhl E.Moulton DE, Goriely A. | ||
+ | Minimal design of the elephant trunk as an active filament. | ||
+ | Phys Rev Lett. 2024; in press. | ||
+ | [http://biomechanics.stanford.edu/paper/PRL24.pdf (download)] | ||
+ | [https://journals.aps.org/prl/accepted/18073Y2bYa81ad8e500b1c42be6bc826222747027 (prl)] | ||
+ | |||
+ | Leanza S, Lu-Yang J, Kaczmarski B, Wu S, Kuhl E, Zhao RR. | ||
+ | Elephant trunk inspired multimodal deformations and movements of soft robotic arms. | ||
+ | Adv Funct Mat. 2024; 202400396. | ||
+ | [https://biomechanics.stanford.edu/paper/ADFM24.pdf (download)] | ||
+ | [https://onlinelibrary.wiley.com/doi/10.1002/adfm.202400396 (adfm)] | ||
+ | |||
+ | Peirlinck M, Linka K, Hurtado JA, Kuhl E. | ||
+ | On automated model discovery and a universal material subroutine for hyperelastic materials. | ||
+ | Comp Meth Appl Mech Eng. 2024; 418: 116534. | ||
+ | [https://biomechanics.stanford.edu/paper/CMAME24.pdf (download)] | ||
+ | [https://www.sciencedirect.com/science/article/pii/S0045782523006588 (cmame)] | ||
+ | |||
+ | Zhang Z, Zou Z, Kuhl E, Karniadakis GE. | ||
+ | Discovering a reaction-diffusion model for Alzheimer's disease | ||
+ | by combining PINNs with symbolic regression. | ||
+ | Comp Meth Appl Mech Eng. 2024; 419: 116647. | ||
+ | [https://biomechanics.stanford.edu/paper/CMAME24a.pdf (download)] | ||
+ | [https://www.sciencedirect.com/science/article/abs/pii/S0045782523007703 (cmame)] | ||
+ | |||
+ | Holthusen H, Lamm L, Brepols T, Reese S, Kuhl E. | ||
+ | Theory and implementation of inelastic Artificial Constitutive Neural Networks. | ||
+ | arXiv. 2023; doi:10.48550/arXiv.2311.06380. | ||
+ | [https://biomechanics.stanford.edu/paper/arXiv23a.pdf (download)] | ||
+ | [https://arxiv.org/abs/2311.06380 (arXiv)] | ||
+ | |||
+ | Tac V, Linka K, Sahli Costabal F, Kuhl E, Buganza Tepole A. | ||
+ | Benchmarks for physics-informed data-driven hyperelasticity. | ||
+ | Comp Mech. 2024; 73: 49-65. | ||
+ | [http://biomechanics.stanford.edu/paper/CMECH24.pdf (download)] | ||
+ | [https://link.springer.com/article/10.1007/s00466-023-02355-2 (cmech)] | ||
+ | |||
+ | Tikenogullari O, Peirlinck M, Chubb H, Dubin AM, Kuhl E, Marsden AL. | ||
+ | Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient. | ||
+ | Comp Meth Biomech Biomed Eng. 2023; doi: 10.1080/10255842.2023.2222203. | ||
+ | [http://biomechanics.stanford.edu/paper/CMBBE23.pdf (download)] | ||
+ | [https://www.tandfonline.com/doi/full/10.1080/10255842.2023.2222203 (cmbbe)] | ||
+ | |||
+ | <div class="publicationheader">2023</div> | ||
+ | |||
+ | St Pierre SR, Rajasekharan D, Darwin EC, Linka K, Levenston ME, Kuhl E. | ||
+ | Discovering the mechanics of artificial and real meat. | ||
+ | Comp Meth Appl Mech Eng. 2023; 415: 116236. | ||
+ | [https://biomechanics.stanford.edu/paper/CMAME23c.pdf (download)] | ||
+ | [https://www.sciencedirect.com/science/article/pii/S0045782523003602 (cmame)] | ||
+ | |||
+ | Linka K, St Pierre SR, Kuhl E. | ||
+ | Automated model discovery for human brain using Constitutive Artificial Neural Networks. Acta Biomat. 2023; 160: 134-151. | ||
+ | [http://biomechanics.stanford.edu/paper/ACTABM23.pdf (download)] | ||
+ | [https://doi.org/10.1016/j.actbio.2023.01.055 (actabm)] | ||
+ | [https://news.stanford.edu/2023/03/01/ai-offers-paradigm-shift-study-brain-injury (stanford|news)] | ||
+ | |||
+ | Linka K, Buganza Tepole A, Holzapfel GA, Kuhl E. | ||
+ | Automated model discovery for skin: | ||
+ | Discovering the best model, data, and experiment. | ||
+ | Comp Meth Appl Mech Eng. 2023; 410:116007. | ||
+ | [https://biomechanics.stanford.edu/paper/CMAME23a.pdf (download)] [https://www.sciencedirect.com/science/article/pii/S0045782523001317 (cmame)] | ||
+ | |||
+ | Linka K, Kuhl E. | ||
+ | A new family of Constitutive Artificial Neural Networks towards automated model discovery. Comp Meth Appl Mech Eng. 2023; 403:115731. | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME23.pdf (download)] | ||
+ | [https://www.sciencedirect.com/science/article/pii/S0045782522006867 (cmame)] | ||
+ | |||
+ | St Pierre SR, Linka K, Kuhl E. | ||
+ | Principal-stretch-based constitutive neural networks autonomously discover a subclass of Ogden models for human brain tissue. | ||
+ | Brain Multiphys. 2023; 4:100066. | ||
+ | [https://biomechanics.stanford.edu/paper/BMPHI23.pdf (download)] [https://www.sciencedirect.com/science/article/pii/S2666522023000047 (bmphi)] | ||
+ | |||
+ | Wang LM, Linka K, Kuhl E. Automated model discovery for muscle using constitutive recurrent neural networks. | ||
+ | J Mech Behav Biomed Mat. 2023; 145: 106021. | ||
+ | [http://biomechanics.stanford.edu/paper/JMBBM23.pdf (download)] | ||
+ | [https://doi.org/10.1016/j.jmbbm.2023.106021 (jmbbm)] | ||
+ | |||
+ | Kaczmarski B, Moulton DE, Goriely A, Kuhl E. | ||
+ | Bayesian design optimization of biomimetic soft actuators. | ||
+ | Comp Meth Appl Mech Eng. 2023; 408: 115939. | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME23b.pdf (download)] | ||
+ | [https://doi.org/10.1016/j.cma.2023.115939 (cmame)] | ||
+ | |||
+ | Wang LM, Goodman MB, Kuhl E. | ||
+ | Image-based axon model highlights heterogeneity in initiation of damage. | ||
+ | Biophys J. 2023; 122: 9-19. | ||
+ | [http://biomechanics.stanford.edu/paper/BIOPJ23.pdf (download)] [https://www.cell.com/biophysj/pdf/S0006-3495(22)03864-4.pdf (biopj)] | ||
+ | |||
+ | Wang LM, Kuhl E. | ||
+ | Mechanics of axon growth and damage: | ||
+ | A systematic review of computational models. | ||
+ | Seminars Cell Dev Bio. 2023; 140:13-21. | ||
+ | [http://biomechanics.stanford.edu/paper/SCDB23.pdf (download)] [https://www.sciencedirect.com/science/article/pii/S1084952122001446 (cell dev bio)] | ||
+ | |||
+ | Kaczmarski B, Goriely A, Kuhl E, Moulton DE. | ||
+ | A simulation tool for physics-informed control of biomimetic soft robotic arms. | ||
+ | IEEE Robotic Automation Lett. 2023; 8: 936-943. | ||
+ | [http://biomechanics.stanford.edu/paper/IEEE23.pdf (download)] | ||
+ | |||
+ | Tikenogullari OZ, Acan AK, Kuhl E, Dal H. Data-driven hyperelasticity – Part II: A canonical framework for anisotropic soft biological tissues. J Mech Phys Solids. 2023; 181: 105453. [http://biomechanics.stanford.edu/paper/JMPS23.pdf (download)] | ||
+ | |||
+ | Kolawole F, Peirlinck M, Cork TE, Levenston M, Kuhl E, Ennis DB. | ||
+ | Validating MRI‐derived myocardial stiffness estimates using in vitro synthetic heart models. | ||
+ | Ann Biomed Eng. 2023; 2023; 51:1574-1587. | ||
+ | [http://biomechanics.stanford.edu/paper/ABME23.pdf (download)] | ||
+ | |||
+ | <div class="publicationheader">2022</div> | ||
+ | |||
+ | Linka K, Schafer A, Meng X, Zou Z, Karniadakis GE, Kuhl E. | ||
+ | Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems. | ||
+ | Comp Meth Appl Mech Eng. 2022; 402: 115346. | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME22.pdf (download)] | ||
+ | [https://www.sciencedirect.com/science/article/pii/S0045782522004327 (cmame)] | ||
+ | |||
+ | Schafer A, Chaggar P, Goriely A, Kuhl E. | ||
+ | Correlating tau pathology to brain atrophy using a physics-based Bayesian model. | ||
+ | Eng Comp. 2022; 38:3867-3877. | ||
+ | [http://biomechanics.stanford.edu/paper/ECOMP22.pdf (download)] | ||
+ | |||
+ | St Pierre SR, Peirlinck M, Kuhl E. | ||
+ | Sex matters: A comprehensive comparison of female and male hearts. | ||
+ | Front Physiology. 2022; 13:831179. | ||
+ | [http://biomechanics.stanford.edu/paper/FRONT22.pdf (download)] [https://www.frontiersin.org/articles/10.3389/fphys.2022.831179/abstract (frontiers)] | ||
+ | |||
+ | Tikenogullari OZ, Sahli Costabal F, Yao J, Marsden A, Kuhl E. | ||
+ | How viscous is the beating heart? Insights from a computational study. | ||
+ | Comp Mech. 2022; 70:565-579. | ||
+ | [http://biomechanics.stanford.edu/paper/CMECH22a.pdf (download)] [https://link.springer.com/article/10.1007/s00466-022-02180-z (comp mech)] | ||
+ | |||
+ | Peirlinck M, Yao J, Sahli Costabal F, Kuhl E. How drugs modulate the performance of the human heart. Comp Mech. 2022; 69:1397–1411. | ||
+ | [http://biomechanics.stanford.edu/paper/CMECH22.pdf (download)] [https://link.springer.com/article/10.1007/s00466-022-02146-1 (comp mech)] | ||
+ | |||
+ | Hoppstadter M, Pullmann D, Seydewitz R, Kuhl E, Bol M. | ||
+ | Correlating the microstructural architecture and macrostructural behaviour of the brain. | ||
+ | Acta Biomat. 2022; 151:379–395. | ||
+ | [http://biomechanics.stanford.edu/paper/ACTABM22.pdf (download)] [https://doi.org/10.1016/j.actbio.2022.08.034 (actabm)] | ||
+ | |||
+ | Kaczmarski B, Moulton DE, Kuhl E, Goriely A. | ||
+ | Active filaments I: Curvature and torsion generation. | ||
+ | J Mech Phys Solids. 2022; 164:104918. [http://biomechanics.stanford.edu/paper/JMPS22.pdf (download)] [https://www.sciencedirect.com/science/article/pii/S0022509622001181 (jmps)] | ||
+ | |||
+ | Vastmans J, Maes L, Peirlinck M, Vanderveken E, Rega F, Kuhl E, Famaey N. | ||
+ | Growth and remodeling in the pulmonary autograft: computational evaluation using kinematic growth models and constrained mixture theory. | ||
+ | Int J Num Meth Biomed Eng. 2022; 38:e3545. | ||
+ | [http://biomechanics.stanford.edu/paper/IJNMBE22.pdf (download)] | ||
+ | [https://onlinelibrary.wiley.com/doi/ftr/10.1002/cnm.3545 (ijnmbe)] | ||
+ | |||
+ | Oliveri H, de Rooij R, Kuhl E, Goriely A. | ||
+ | Rheology of growing axons. | ||
+ | Phys Rev Res. 2022; 4:033125. [http://biomechanics.stanford.edu/paper/PHYSREVRES22.pdf (download)] [https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.4.033125 (phys rev res)] | ||
+ | |||
+ | <div class="publicationheader">2021</div> | ||
+ | |||
+ | Schafer A, Chaggar P, Thompson TB, Goriely A, Kuhl E. | ||
+ | Predicting brain atrophy from tau pathology: a summary of clinical findings and their translation into personalized models. | ||
+ | Brain Multiphysics. 2021; 2:100039. [http://biomechanics.stanford.edu/paper/BRAIN21.pdf (download)] [https://www.sciencedirect.com/science/article/pii/S2666522021000198 (brain multiphysics)] | ||
+ | |||
+ | Schafer A, Peirlinck M, Linka K, Kuhl E. | ||
+ | Bayesian physics-based modeling of tau propagation in Alzheimer's disease. | ||
+ | Front Physiology. 2021; 12:702975. [http://biomechanics.stanford.edu/paper/FRONT21.pdf (download)] [https://www.frontiersin.org/articles/10.3389/fphys.2021.702975/abstract (frontiers)] | ||
+ | |||
+ | Peirlinck M, Sahli Costabal F, Kuhl E. | ||
+ | Sex differences in drug-induced arrhythmogenesis. | ||
+ | Front Physiology. 2021; 12:708435. [http://biomechanics.stanford.edu/paper/FRONT21a.pdf (download)] [https://www.frontiersin.org/articles/10.3389/fphys.2021.708435/abstract (frontiers)] | ||
+ | |||
+ | Linka K, Peirlinck M, Schafer A, Ziya Tikenogullari O, Goriely A, Kuhl E. Effects of B.1.1.7 and B.1.351 on COVID-19 dynamics. A campus reopening study. | ||
+ | Arch Comp Meth Eng. 2021; 28:4225-4236. | ||
+ | [http://biomechanics.stanford.edu/paper/ACME21a.pdf (download)] | ||
+ | [https://link.springer.com/article/10.1007%2Fs11831-021-09638-y (open access)] | ||
+ | [https://www.medrxiv.org/content/10.1101/2021.04.22.21255954v1 (medRxiv)] | ||
+ | |||
+ | Lu H, Weintz C, Pace J, Indana D, Linka K, Kuhl E. | ||
+ | Are college campuses superspreaders? A data-driven modeling study. | ||
+ | Comp Meth Biomech Biomed Eng. 2021; 24:1136-1145. | ||
+ | [http://biomechanics.stanford.edu/paper/CMBBE21.pdf (download)] | ||
+ | [https://www.tandfonline.com/doi/full/10.1080/10255842.2020.1869221 (open access)] | ||
+ | [https://www.medrxiv.org/content/10.1101/2020.12.18.20248490v1 (medRxiv)] | ||
+ | |||
+ | Peirlinck M, Sahli Costabal F, Yao J, Guccione JM, Tripathy S, Wang Y, Ozturk D, Segars P, Morrison TM, Levine S, Kuhl E. | ||
+ | Precision medicine in human heart modeling. | ||
+ | Perspectives, challenges, and opportunities. | ||
+ | Biomech Model Mechanobio; 2021; 20:803-831. | ||
+ | [http://biomechanics.stanford.edu/paper/BMMB21a.pdf (download)] | ||
+ | [https://link.springer.com/article/10.1007/s10237-021-01421-z (open access)] | ||
+ | |||
+ | Linka K, Goriely A, Kuhl E. | ||
+ | Global and local mobility as a barometer for COVID-19 dynamics. | ||
+ | Biomech Model Mechanobio. 2021; 20:651–669. | ||
+ | [https://link.springer.com/article/10.1007/s10237-020-01408-2 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/BMMB21.pdf (download)] | ||
+ | |||
+ | Peng GCY, Alber M, Buganza Tepole A, Cannon W, De S, Dura-Bernal S, Garikipati K, Karniadakis G, Lytton WW, Perdikaris P, Petzold L, Kuhl E. | ||
+ | Multiscale modeling meets machine learning: What can we learn? | ||
+ | Arch Comp Meth Eng. 2021; 28:1017–1037. | ||
+ | [https://link.springer.com/article/10.1007/s11831-020-09405-5 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/ACME21.pdf (download)] | ||
+ | |||
+ | Bhouri MA, Sahli Costabal F, Wang H, Linka K, Peirlinck M, Kuhl E, Perdikaris P. | ||
+ | COVID-19 dynamics across the US: | ||
+ | A deep learning study of human mobility and social behavior. | ||
+ | Comp Meth Appl Mech Eng. 2021; 382:113891. | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME21.pdf (download)] | ||
+ | |||
+ | <div class="publicationheader">2020</div> | ||
+ | |||
+ | Schäfer A, Mormino EC, Kuhl E. | ||
+ | Network diffusion modeling explains longitudinal tau PET data. | ||
+ | Front Neurosci. 2020; 14:566876. | ||
+ | [http://biomechanics.stanford.edu/paper/FRONT20a.pdf (download)] | ||
+ | [https://www.frontiersin.org/articles/10.3389/fnins.2020.566876/full (frontiers)] | ||
+ | |||
+ | Linka K, Peirlinck M, Kuhl E. | ||
+ | The reproduction number of COVID-19 and its correlation with public heath interventions. | ||
+ | Comp Mech. 2020; 66:1035-1050. | ||
+ | [http://biomechanics.stanford.edu/paper/CMECH20a.pdf (download)] [https://link.springer.com/article/10.1007/s00466-020-01880-8?wt_mc=Internal.Event.1.SEM.ArticleAuthorAssignedToIssue&utm_source=ArticleAuthorAssignedToIssue&utm_medium=email&utm_content=AA_en_06082018&ArticleAuthorAssignedToIssue_20200920 (computational mechanics)] | ||
+ | [https://www.medrxiv.org/content/10.1101/2020.05.01.20088047v3 (medRxiv)] | ||
+ | [https://www.news-medical.net/news/20200510/Reproduction-number-of-COVID-19-and-how-it-relates-to-public-health-measures.aspx (medical life sciences)] | ||
+ | [https://theconversation.com/coronavirus-what-will-happen-if-we-cant-produce-a-vaccine-144307 (the conversation)] | ||
+ | |||
+ | Peirlinck M, Linka K, Sahli Costabal F, Bendavid E, Bhattacharya J, Ioannidis J, Kuhl E. | ||
+ | Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19. | ||
+ | Comp Meth Appl Mech Eng. 2020; 372:113410. | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME20.pdf (download)] | ||
+ | [https://www.medrxiv.org/content/10.1101/2020.05.23.20111419v1 (medRxiv)] | ||
+ | |||
+ | Kuhl E. | ||
+ | Data-driven modeling of COVID-19 - Lessons learned. | ||
+ | Extr Mech Lett. 2020; 40:100921. | ||
+ | [http://biomechanics.stanford.edu/paper/EML20.pdf (download)] | ||
+ | [https://www.youtube.com/watch?v=lBMPfltcDqs&feature=youtu.be (youtube webinar)] | ||
+ | [http://biomechanics.stanford.edu/paper/EML081220.jpg (EML webinar announcement)] | ||
+ | [https://imechanica.org/taxonomy/term/12788 (link)] | ||
+ | |||
+ | Linka K, Rahman P, Goriely A, Kuhl E. | ||
+ | Is it safe to lift COVID-19 travel restrictions? The Newfoundland story. | ||
+ | Comp Mech. 2020; 66:1081–1092. | ||
+ | [https://www.medrxiv.org/content/10.1101/2020.07.16.20155614v3 (medRxiv)] [http://biomechanics.stanford.edu/paper/CMECH20b.pdf (download)] | ||
+ | [https://www.news-medical.net/news/20200721/Keeping-out-COVID-19-in-Newfoundland.aspx (medical life sciences)] | ||
+ | [https://engineering.stanford.edu/magazine/article/new-class-explores-how-safely-reopen-campus-during-covid-19 (stanford report)] | ||
+ | |||
+ | Peirlinck M, Linka K, Sahli Costabal F, Kuhl E. | ||
+ | Outbreak dynamics of COVID-19 in China and the United States. | ||
+ | Biomech Model Mechanobio. 2020; 19:2179-2193. | ||
+ | [https://www.medrxiv.org/content/10.1101/2020.04.06.20055863v1 (medRxiv)] | ||
+ | [https://link.springer.com/article/10.1007/s10237-020-01332-5 (access)] | ||
+ | [http://biomechanics.stanford.edu/paper/BMMB20.pdf (download)] | ||
+ | [https://med.stanford.edu/cvi/mission/news_center/articles_announcements/using-math-to-understand-covid-19-outbreak-dynamics.html (stanford medicine)] | ||
+ | |||
+ | Linka K, Peirlinck M, Sahli Costabal F, Kuhl E. | ||
+ | Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions. | ||
+ | Comp Meth Biomech Biomed Eng. 2020; 23:710-717. | ||
+ | [https://medrxiv.org/cgi/content/short/2020.04.18.20071035v1 (medRxiv)] | ||
+ | [http://biomechanics.stanford.edu/paper/CMBBE20.pdf (download)] | ||
+ | [https://www.sciencedaily.com/releases/2020/05/200504191018.htm (science daily)] | ||
+ | [https://infosurhoy.com/news-summary/how-covid-19-spread-has-been-contained-by-travel-bans/ (infosurhoy)] | ||
+ | [https://www.health24.com/Medical/Infectious-diseases/Coronavirus/covid-19-travel-restrictions-have-saved-millions-of-people-from-being-infected-mathematical-modelling-shows-20200507-2 (health24)] | ||
+ | [https://www.welt.de/vermischtes/article207810451/Corona-Krise-und-Grenzen-Wie-sinnvoll-sind-Reisebeschraenkungen-wirklich.html (welt)] | ||
+ | [https://www.mdr.de/wissen/corona-reise-verbot-eindaemmung-covid-modell-100.html (mdr wissen)] | ||
+ | |||
+ | Holland MA, Budday S, Li G, Shen D, Goriely A, Kuhl E. | ||
+ | Folding drives cortical thickness variations. | ||
+ | Eur Phys J. 2020; 229:2757-2778. | ||
+ | [http://biomechanics.stanford.edu/paper/EPJ20.pdf (download)] | ||
+ | |||
+ | Goriely A, Kuhl E, Bick C. | ||
+ | Neuronal oscillations on evolving networks: Dynamics, damage, degradation, decline, dementia, and death. | ||
+ | Phys Rev Lett. 2020; 125:128102. | ||
+ | [http://biomechanics.stanford.edu/paper/PRL20.pdf (download)] | ||
+ | |||
+ | Sahli Costabal F, Seo K, Ashley E, Kuhl E. | ||
+ | Classifying drugs by their arrhythmogenic risk using machine learning. | ||
+ | Biophys J. 2020; 118:1-12. | ||
+ | [https://www.cell.com/biophysj/fulltext/S0006-3495(20)30038-2 (open access)] | ||
+ | [https://www.cell.com/action/showPdf?pii=S0006-3495%2820%2930038-2 (download)] | ||
+ | |||
+ | Budday S, Ovaert TC, Holzapfel GA, Steinmann P, Kuhl E. | ||
+ | Fifty shades of brain: A review on the material testing and modeling of brain tissue. | ||
+ | Arch Comp Meth Eng. 2020; 27:1187-1230. | ||
+ | [https://link.springer.com/epdf/10.1007/s11831-019-09352-w (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/ACME20.pdf (download)] | ||
+ | |||
+ | Sahli Costabal F, Yang Y, Perdikaris P, Hurtado DE, Kuhl E. | ||
+ | Physics-informed neural networks for cardiac activation mapping. | ||
+ | Front Phys. 2020; 8:42. | ||
+ | [https://www.frontiersin.org/articles/10.3389/fphy.2020.00042 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/FRONT20.pdf (download)] | ||
+ | |||
+ | Kuhl E. Nervous tissue stiffens post injury. Biophys J. 2020; 118:276-278. | ||
+ | [http://biomechanics.stanford.edu/paper/BIOPJ20.pdf (download)] | ||
+ | |||
+ | Budday S, Kuhl E. Modeling the life cycle of the human brain. | ||
+ | Curr Opinion Biomed Eng. 2020; 15:16-25. | ||
+ | [http://biomechanics.stanford.edu/paper/COBME20.pdf (download)] | ||
+ | |||
+ | Thompson TB, Chaggar P, Kuhl E, Goriely A. | ||
+ | Protein-protein interactions in neurodegenerative diseases: A conspiracy theory. | ||
+ | PLoS Comp Bio. 2020; 16:e1008267. | ||
+ | [https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008267 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/PLOSCB20.pdf (download)] | ||
+ | |||
+ | Wang L, Kuhl E. | ||
+ | Viscoelasticity of the axon limits stretch-mediated growth. | ||
+ | Comp Mech. 2020; 65:587-595. | ||
+ | [http://biomechanics.stanford.edu/paper/CMECH20.pdf (download)] | ||
+ | |||
+ | Fornari S, Schafer A, Kuhl E, Goriely A. | ||
+ | Spatially-extended nucleation-aggregation-fragmentation models for the dynamics of prion-like neurodegenerative protein-spreading in the brain and its connectome. | ||
+ | Journal of Theoretical Biology. 2020; 486:110102. | ||
+ | [https://doi.org/10.1016/j.jtbi.2019.110102 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/JTBIO20.pdf (download)] | ||
+ | |||
+ | Budday S, Sarem M, Strack L, Sommer G, Pfefferle J, Phunchago N, Kuhl E, Paulsen F, Steinmann P, Shastri VP, Holzapfel GA. | ||
+ | Towards microstructure-informed material models for human brain tissue. | ||
+ | Acta Biomat. 2020; 104:53-65. | ||
+ | [http://biomechanics.stanford.edu/paper/ACTABM20.pdf (download)] | ||
+ | |||
+ | <div class="publicationheader">2019</div> | ||
+ | |||
+ | Kuhl E. | ||
+ | Connectomics of neurodegeneration. | ||
+ | Nat Neurosci. 2019; 22:1200–1202. | ||
+ | [https://rdcu.be/bLHG5 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/NNEURO19.pdf (download)] | ||
+ | |||
+ | Alber M, Buganza Tepole A, Cannon W, De S, Dura-Bernal S, Garikipati K, Karniadakis G, Lytton WW, Perdikaris P, Petzold L, Kuhl E. | ||
+ | Integrating machine learning and multiscale modeling: | ||
+ | Perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digital Medicine; 2019; 2:115. | ||
+ | [https://www.nature.com/articles/s41746-019-0193-y (open access)] | ||
+ | [https://www.nature.com/articles/s41746-019-0193-y.pdf (download)] | ||
+ | |||
+ | Fornari S, Schafer A, Jucker M, Goriely A, Kuhl E. | ||
+ | Prion-like spreading of Alzheimer's disease within the brain's connectome. | ||
+ | J Royal Soc Interface. 2019; 16:20190356. | ||
+ | [https://royalsocietypublishing.org/doi/full/10.1098/rsif.2019.0356?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%3dpubmed (open access)] [http://biomechanics.stanford.edu/paper/IFACE19a.pdf (download)] | ||
+ | |||
+ | Ambrosi D, BenAmar M, Cyron CJ, DeSimone A, Goriely A, Humphrey JD, Kuhl E. | ||
+ | Growth and remodelling of living tissues: Perspectives, challenges, and opportunities. | ||
+ | J Royal Soc Interface. 2019; 16:20190233. | ||
+ | [http://biomechanics.stanford.edu/paper/IFACE19.pdf (download)] | ||
+ | |||
+ | Weickenmeier J, Jucker M, Goriely A, Kuhl E. | ||
+ | A physics-based model explains the prion-like features of neurodegeneration in Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis. | ||
+ | J Mech Phys Solids. 2019; 124: 264-281. | ||
+ | [https://doi.org/10.1016/j.jmps.2018.10.013 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS19.pdf (download)] | ||
+ | |||
+ | Sahli Costabal F, Matsuno K, Yao J, Perdikaris P, Kuhl E. | ||
+ | Machine learning in drug development: | ||
+ | Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification. | ||
+ | Comp Meth Appl Mech Eng. 2019; 348:313-333. | ||
+ | [https://doi.org/10.1016/j.cma.2019.01.033 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME19.pdf (download)] | ||
+ | |||
+ | Schafer A, Weickenmeier J, Kuhl E. | ||
+ | The interplay of biochemical and biomechanical degeneration in Alzheimer's disease. | ||
+ | Comp Meth Appl Mech Eng. 2019; 352:369-388. | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME19a.pdf (download)] | ||
+ | |||
+ | Noel L, Kuhl E. | ||
+ | Modeling neurodegeneration in chronic traumatic encephalopathy using gradient damage models. | ||
+ | Comp Mech. 2019; 64:1375-1387. | ||
+ | [http://biomechanics.stanford.edu/paper/CMECH19a.pdf (download)] | ||
+ | |||
+ | Harris TC, de Rooij R, Kuhl E. | ||
+ | The shrinking brain: Cerebral atrophy following traumatic brain injury. | ||
+ | Ann Biomed Eng. 2019; 47:1941-1959. | ||
+ | [https://doi.org/10.1007/s10439-018-02148-2 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/ABME19.pdf (download)] | ||
+ | |||
+ | Sahli Costabal F, Yao J, Sher A, Kuhl E. | ||
+ | Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure response simulator. | ||
+ | Prog Biophys Mol Bio. 2019; 144:61-76. | ||
+ | [http://biomechanics.stanford.edu/paper/PBMB19.pdf (download)] | ||
+ | |||
+ | Peirlinck M, Sahli Costabal F, Sack KL, Choy JS, Kassab GS, Guccione JM, De Beule M, Segers P, Kuhl E. | ||
+ | Using machine learning to characterize heart failure across the scales. | ||
+ | Biomech Model Mechanobio. 2019; 18:1987-2001. | ||
+ | [http://biomechanics.stanford.edu/paper/BMMB19.pdf (download)] | ||
+ | |||
+ | Sahli Costabal F, Choy JS, Sack KL, Guccione JM, Kassab G, Kuhl E. | ||
+ | Multiscale characterization of heart failure. | ||
+ | Acta Biomat. 2019; 86:66-76. | ||
+ | [https://www.sciencedirect.com/science/article/pii/S1742706119300029?dgcid=author (open access)] [http://biomechanics.stanford.edu/paper/ACTABM19.pdf (download)] | ||
+ | |||
+ | Lejeune E, Dortdivanlioglu B, Kuhl E, Linder C. | ||
+ | Understanding the mechanical link between oriented cell division and cerebellar morphogenesis. Soft Matter. 2019; 15:2204. | ||
+ | [http://biomechanics.stanford.edu/paper/SOFTM19.pdf (download)] | ||
+ | |||
+ | Sahli Costabal F, Perdikaris P, Kuhl E, Hurtado D. | ||
+ | Multi-fidelity classification using Gaussian processes: | ||
+ | accelerating the prediction of large-scale computational models. | ||
+ | Comp Meth Appl Mech Eng. 2019; 357:112602. | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME19b.pdf (download)] | ||
+ | |||
+ | Ostwald R, Kuhl E, Menzel A. | ||
+ | On the implementation of finite deformation gradient-enhanced damage models. | ||
+ | Comp Mech. 2019; 64:847-877. | ||
+ | [http://biomechanics.stanford.edu/paper/CMECH19.pdf (download)] | ||
+ | |||
+ | Bothe W, Escobar Kvitting JP, Rausch MK, Timek TA, Swanson JC, Liang DH, Walther M, Kuhl E, Ingels NB, Miller DC. | ||
+ | Do annuloplasty rings designed to treat ischemic/functional mitral regurgitation alter left-ventricular dimensions in the acutely ischemic ovine heart? | ||
+ | J Thor Cardivasc Surg. 2019; 158:1058-1068. | ||
+ | [http://biomechanics.stanford.edu/paper/JTCVS19.pdf (download)] | ||
+ | |||
+ | Alawiye H, Kuhl E, Goriely A. | ||
+ | Revisiting the wrinkling of elastic bilayers I: Linear analysis. | ||
+ | Phil Trans A. 2019; 377:20180076. | ||
+ | [http://biomechanics.stanford.edu/paper/PHILT19.pdf (download)] | ||
+ | |||
+ | van Kelle MAJ, Rausch MK, Kuhl E, Loerakker S. | ||
+ | A computational model to predict cell traction-mediated prestretch in the mitral valve. | ||
+ | Comp Meth Biomech Biomed Eng. 2019; 22:1174-1185. | ||
+ | [https://www.tandfonline.com/doi/full/10.1080/10255842.2019.1647533 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/CMBBE19.pdf (download)] | ||
+ | |||
+ | <div class="publicationheader">2018</div> | ||
+ | |||
+ | Weickenmeier J, Kuhl E, Goriely A. | ||
+ | The multiphysics of prion-like diseases: progression and atrophy. | ||
+ | Phys Rev Lett. 2018; 121:158101. | ||
+ | [https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.121.158101#fulltext (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/PRL18.pdf (download)] | ||
+ | [https://physics.aps.org/articles/v11/104 (physics focus)] | ||
+ | [https://news.stanford.edu/2018/10/12/new-simulation-shows-alzheimers-spreads/ (stanford report)] | ||
+ | [https://www.youtube.com/watch?v=8JOBaU4EtYQ&feature=youtu.be (nsf)]<br> | ||
+ | [https://scopeblog.stanford.edu/2018/10/15/connecting-the-dots-of-alzheimers-disease/ (scope)] | ||
+ | [https://aimbe.org/college-of-fellows/COF-1663/ (aimbe)] | ||
+ | [https://www.futurity.org/alzheimers-disease-protein-misfolding-1894042/ (futury)] | ||
+ | [https://phys.org/news/2018-10-team-simulates-alzheimer-disease-brain.html (phys.org)] | ||
+ | [https://www.newsweek.com/video-shows-how-alzheimers-might-kill-brain-cells-1119858?utm_source=Public&utm_medium=Feed&utm_campaign=Distribution (newsweek)] | ||
+ | [https://www.biospace.com/article/new-research-may-totally-turn-our-understanding-of-dementia-on-its-head/?s=88 (biospace)] | ||
+ | [https://www.newsmax.com/thewire/alzheimers-spread-computer-model/2018/10/15/id/886281/ (newsmax)] | ||
+ | [https://www.myscience.org/news/2018/new_simulation_shows_how_alzheimer_s_spreads-2018-stanford (my science)] | ||
+ | [https://www.stevens.edu/news/researchers-model-how-toxic-proteins-course-through-brain (stevens)] | ||
+ | [https://www.medindia.net/news/healthinfocus/digital-brain-model-reveals-how-toxic-proteins-cause-brain-diseases-183070-1.htm (medindia)] | ||
+ | [https://phys.org/news/2018-10-toxic-proteins-brain-disease.html (phys.org)] | ||
+ | [https://gizmodo.com/this-is-a-brain-taken-over-by-alzheimers-1829718478 (gizmodo)] | ||
+ | [https://www.gurumed.org/2018/10/16/un-modle-informatique-simule-la-faon-dont-la-maladie-dalzheimer-se-propage-dans-le-cerveau/ (recherche)] | ||
+ | [https://nplus1.ru/news/2018/10/15/progression-multiphysics (n+1)] <br> | ||
+ | |||
+ | Holland MA, Budday S, Goriely A, Kuhl E. | ||
+ | Symmetry breaking in wrinkling patterns: Gyri are universally thicker than sulci. | ||
+ | Phys Rev Lett. 2018; 121:228002. | ||
+ | [https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.121.228002 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/PRL18a.pdf (download)] | ||
+ | |||
+ | Sahli Costabal F, Yao J, Kuhl E. | ||
+ | Predicting the cardiac toxicity of drugs using a novel multiscale exposure-response simulator. | ||
+ | Comp Meth Biomech Biomed Eng. 2018; 21:232-246. | ||
+ | [http://biomechanics.stanford.edu/paper/CMBBE18.pdf (download)] | ||
+ | [https://www.tandfonline.com/doi/full/10.1080/10255842.2018.1439479 (open access)] | ||
+ | [https://insidehpc.com/2017/11/hyperion-innovation-excellence-award-goes-ubercloud-stanford-living-heart-project/ (hyperion innovation excellence award)] | ||
+ | [https://www.theubercloud.com/ubercloud-and-stanford-living-heart-project-win-prestigious-awards-from-intel-hpcwire-and-hyperion-for-cloud-hpc-at-sc17/ (hpc wire editors' choice award)] | ||
+ | |||
+ | de Rooij R, Kuhl E. | ||
+ | Physical biology of axonal damage. | ||
+ | Front Cell Neurosci. 2018; 12:144. | ||
+ | [https://www.frontiersin.org/articles/10.3389/fncel.2018.00144/pdf (download)] | ||
+ | [http://biomechanics.stanford.edu/paper/FRONT18.pdf (download)] | ||
+ | [https://www.frontiersin.org/articles/10.3389/fncel.2018.00144/abstract (open access)] | ||
+ | |||
+ | Kuhl E. | ||
+ | Mechanical cues in spinal cord injury. | ||
+ | Biophys J. 2018; 115:751-753. | ||
+ | [http://biomechanics.stanford.edu/paper/BIOPJ18a.pdf (download)] | ||
+ | |||
+ | Weickenmeier J, Kurt M, Ozkaya E, de Rooij R, Ovaert TC, Ehman RL, Butts Pauly K, Kuhl E. | ||
+ | Brain stiffens post mortem. | ||
+ | J Mech Beh Biomed Mat. 2018; 84:88-98. | ||
+ | [http://biomechanics.stanford.edu/paper/JMBBM18B.pdf (download)] | ||
+ | [https://doi.org/10.1016/j.jmbbm.2018.04.009 (open access)] | ||
+ | |||
+ | de Rooij R, Kuhl E. | ||
+ | Microtubule polymerization and cross-link dynamics explain axonal stiffness and damage. | ||
+ | Biophys J. 2018; 114:201-212. | ||
+ | [http://biomechanics.stanford.edu/paper/BIOPJ18.pdf (download)] | ||
+ | |||
+ | Sahli Costabal F, Yao J, Kuhl E. | ||
+ | Predicting drug-induced arrhythmias by multiscale modeling. | ||
+ | Int J Num Meth Biomed Eng. 2018; 34:e2964. | ||
+ | [http://biomechanics.stanford.edu/paper/IJNMBE18.pdf (download)] | ||
+ | |||
+ | Weickenmeier J, Kurt M, Ozkaya E, Wintermark M, Butts Pauly K, Kuhl E. | ||
+ | Magnetic resonance elastography of the brain: A comparison between pigs and humans. | ||
+ | J Mech Beh Biomed Mat. 2018; 77:702-710. | ||
+ | [http://biomechanics.stanford.edu/paper/JMBBM18.pdf (download)] | ||
+ | |||
+ | Limbert G, Kuhl E. | ||
+ | On skin microrelief and the emergence of expression microwrinkles | ||
+ | Soft Matter. 2018; 14:1292-1300. | ||
+ | [http://biomechanics.stanford.edu/paper/SOFTM18.pdf (download)] | ||
+ | |||
+ | de Rooij R, Kuhl E. | ||
+ | A physical multifield model predicts the development of volume and structure in the human brain. J Mech Phys Solids. 2018; 112: 563-576. | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS18.pdf (download)] | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS18_movie01.mp4 (movie01)] [http://biomechanics.stanford.edu/paper/JMPS18_movie02.mp4 (movie02)] | ||
+ | |||
+ | de Rooij R, Kuhl E, Miller, KE. | ||
+ | Modeling the axon as an active partner with the growth cone in axonal elongation. | ||
+ | Biophys J. 2018; 115:1783-1795. | ||
+ | [http://biomechanics.stanford.edu/paper/BIOPJ18b.pdf (download)] | ||
+ | |||
+ | Lee T, Vaca EE, Ledwon JK, Bae H, Topczewska JM, Turin SY, Kuhl E, Gosain AK, Buganza Tepole A. Improving tissue expansion protocols through computational modeling. | ||
+ | J Mech Beh Biomed Mat. 2018; 82:224-234. | ||
+ | [http://biomechanics.stanford.edu/paper/JMBBM18A.pdf (download)] | ||
+ | |||
+ | Oomen PA, Holland MA, Bouten CVC, Kuhl E, Loerakker S. | ||
+ | Growth and remodeling play opposing roles during postnatal human heart valve development. | ||
+ | Sci Rep. 2018; 8:1235. | ||
+ | [http://biomechanics.stanford.edu/paper/SREP18.pdf (download)] | ||
+ | |||
+ | Purnell CA, Gart MS, Buganza Tepole A, Tomaszewski JP, Topczewska JM, Kuhl E, Gosain AK. | ||
+ | Determining the differential effects of stretch and growth in tissue-expanded skin: Combining isogeometric analysis and continuum mechanics in a porcine model. | ||
+ | Dermatol Surg. 2018; 44:48-52. | ||
+ | [http://biomechanics.stanford.edu/paper/DERMA17.pdf (download)] | ||
+ | |||
+ | Abilez OJ, Tzatzalos E, Yang H, Zhao MT, Jung G, Zollner AM, Tiburcy M, Riegler J, Matsa E, Shukla P, Zhuge Y, Chour T, Chen VC, Burridge PW, Karakides I, Kuhl E, Bernstein D, Couture LA, Gold JD, Zimmermann WH, Wu JC. | ||
+ | Passive stretch induces structural and functional maturation of engineered heart muscle as predicted by computational modeling. | ||
+ | Stem Cells. 2018; 36:265-277. | ||
+ | [http://biomechanics.stanford.edu/paper/STEM18.pdf (download)] | ||
+ | |||
+ | Sahli Costabal F, Zaman JAB, Kuhl E, Narayan SM. | ||
+ | Interpreting activation mapping of atrial fibrillation: a hybrid computational/physiological | ||
+ | study. | ||
+ | Ann Biomed Eng. 2018; 46:257-269. | ||
+ | [http://biomechanics.stanford.edu/paper/ABME18.pdf (download)] | ||
+ | |||
+ | <div class="publicationheader">2017</div> | ||
+ | |||
+ | Budday S, Sommer G, Hayback J, Steinmann P, Holzapfel GA, Kuhl E. | ||
+ | Rheological characterization of human brain tissue. | ||
+ | Acta Biomat. 2017; 60:315-329. | ||
+ | [http://biomechanics.stanford.edu/paper/ACTABM17A.pdf (download)] | ||
+ | |||
+ | van den Bedem H, Kuhl E. | ||
+ | Molecular mechanisms of chronic traumatic encephalopathy. | ||
+ | Curr Opinion Biomed Eng. 2017;1:23-30. | ||
+ | [http://biomechanics.stanford.edu/paper/COBME17.pdf (download)] | ||
+ | |||
+ | Weickenmeier J, de Rooij R, Budday S, Ovaert TC, Kuhl E. | ||
+ | The mechanical importance of myelination in the central nervous system | ||
+ | J Mech Beh Biomed Mat. 2017; 76:119-124. | ||
+ | [http://biomechanics.stanford.edu/paper/JMBBM17.pdf (download)] | ||
+ | |||
+ | Weickenmeier J, Fischer C, Carter D, Kuhl E, Goriely A. | ||
+ | Dimensional, geometrical, and physical constraints in skull growth. | ||
+ | Phys Rev Lett. 2017; 118:248101. | ||
+ | [http://biomechanics.stanford.edu/paper/PRL17.pdf (download)] | ||
+ | [https://physics-aps-org.stanford.idm.oclc.org/articles/v10/67 (focus)] | ||
+ | [https://phys.org/news/2017-06-geometry-skull-growth-brain-mechanics.html (phys org)] | ||
+ | |||
+ | Kuo C, Wu LC, Ye PP, Laksari K, Camarillo D, Kuhl E. | ||
+ | Pilot findings of brain displacements and deformations during roller coaster rides. | ||
+ | J Neurotrauma. 2017; 34:3198-3205. | ||
+ | [http://biomechanics.stanford.edu/paper/JNEUROT17.pdf (download)] | ||
+ | |||
+ | Budday S, Sommer G, Holzapfel GA, Steinmann P, Kuhl E. | ||
+ | Viscoelastic parameter identification of human brain tissue. | ||
+ | J Mech Beh Biomed Mat. 2017; 74:463-476. | ||
+ | [http://biomechanics.stanford.edu/paper/JMBBM17A.pdf (download)] | ||
+ | |||
+ | Weickenmeier J, Saez P, Butler CAM, Young PG, Goriely A, Kuhl E. | ||
+ | Bulging brains. | ||
+ | J Elast. 2017; 129:197–212. | ||
+ | [http://biomechanics.stanford.edu/paper/JELAST17.pdf (download)] | ||
+ | |||
+ | Mihai LA, Budday S, Holzapfel GA, Kuhl E, Goriely A. | ||
+ | A family of hyperelastic models for human brain tissue. | ||
+ | J Mech Phys Solids. 2017;106:60-79. | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS17A.pdf (download)] | ||
+ | |||
+ | Budday S, Sommer G, Birkl C, Langkammer C, Hayback J, Kohnert J, Bauer M, Paulsen F, | ||
+ | Steinmann P, Kuhl E, Holzapfel GA. | ||
+ | Mechanical characterization of human brain tissue. | ||
+ | Acta Biomat. 2017;48:319-340. | ||
+ | [http://biomechanics.stanford.edu/paper/ACTABM17.pdf (download)] | ||
+ | |||
+ | de Rooij R, Miller KE, Kuhl E. | ||
+ | Modeling molecular mechanisms in the axon. | ||
+ | Comp Mech. 2017;59:523-537. | ||
+ | [http://biomechanics.stanford.edu/paper/CMECH17.pdf (download)] | ||
+ | |||
+ | Weickenmeier J, Butler CAM, Young PG, Goriely A, Kuhl E. | ||
+ | The mechanics of decompressive craniectomy: Personalized simulations. | ||
+ | Comp Meth Appl Mech Eng. 2017;314:180-195. | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME17.pdf (download)] | ||
+ | |||
+ | Sahli Costabal F, Concha FA, Hurtado DE, Kuhl E. | ||
+ | The importance of mechano-electrical feedback and inertia in cardiac electromechanics. | ||
+ | Comp Meth Appl Mech Eng. 2017;320:352-368. | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME17b.pdf (download)] | ||
+ | |||
+ | Buganza Tepole A, Vaca EE, Purnell CA, Gart M, McGrath J, Kuhl E, Gosain A. | ||
+ | Quantification of strain in a porcine model of skin expansion using multi-view stereo and isogeometric kinematics. | ||
+ | JoVE. 2017;122:e55052. | ||
+ | [http://biomechanics.stanford.edu/paper/JOVE17.pdf (download)] | ||
+ | [http://biomechanics.stanford.edu/paper/JOVE17.mp4 (movie)] | ||
+ | [https://www.jove.com/video/55052/quantification-strain-porcine-model-skin-expansion-using-multi-view (jove)] | ||
+ | |||
+ | Budday S, Andres S, Walter B, Steinmann P, Kuhl E. | ||
+ | Wrinkling instabilities in soft bi-layered systems. | ||
+ | Phil Trans R Soc A. 2017;375:20160163. | ||
+ | [http://biomechanics.stanford.edu/paper/PHILT17.pdf (download)] | ||
+ | |||
+ | Rausch MK, Zollner AM, Genet M, Baillargeon B, Bothe W, Kuhl E. | ||
+ | A virtual sizing tool for mitral valve annuloplasty. | ||
+ | Int J Num Meth Biomed Eng. 2017;33:e02788. | ||
+ | [http://biomechanics.stanford.edu/paper/IJNMBE17.pdf (download)] | ||
+ | |||
+ | Holland MA, Li B, Feng XQ, Kuhl E. | ||
+ | Instabilities of soft films on compliant substrates. | ||
+ | J Mech Phys Solids. 2017;98:350-365. | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS16A.pdf (download)] | ||
+ | |||
+ | <div class="publicationheader">2016</div> | ||
+ | |||
+ | Kuhl E. | ||
+ | Biophysics: Unfolding the brain. | ||
+ | Nature Physics. 2016;12:533-534. | ||
+ | [http://biomechanics.stanford.edu/paper/NATPHY16.pdf (download)] | ||
+ | [http://www.latimes.com/science/sciencenow/la-sci-sn-folded-brain-3d-printing-20160201-story.html (los angeles times)] [http://www.chicagotribune.com/lifestyles/health/ct-3d-brain-printing-20160202-story.html (chicago tribune)] [http://www.ibtimes.co.uk/folded-structure-human-brain-determined-by-physical-growth-process-rather-biology-1541306 (international business times)] [http://www.spektrum.de/news/wie-sich-das-hirn-in-falten-legt/1397613 (spektrum)] | ||
+ | |||
+ | Goriely A, Weickenmeier J, Kuhl E. | ||
+ | Stress singularities in swelling soft solids. | ||
+ | Phys Rev Lett. 2016;117:138001. | ||
+ | [http://biomechanics.stanford.edu/paper/PRL16.pdf (download)] | ||
+ | [http://news.stanford.edu/2016/09/27/stanford-led-team-simulates-inner-strain-brain-better-plan-surgery/ (stanford report)] | ||
+ | [http://www.ox.ac.uk/news/science-blog/maths-gives-new-insights-damage-caused-during-brain-surgery (oxford science blog)] | ||
+ | [https://www.maths.ox.ac.uk/node/16515 (press oxford)] | ||
+ | [https://www.engadget.com/2016/10/06/stanford-simulator-predicts-brain-swelling-to-guide-surgeons/ (engadget)] | ||
+ | [http://physicsbuzz.physicscentral.com/2016/09/when-brain-bulges-stressful-impact-of.html?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+physicscentral%2FPhysicsBuzz+%28Physics+Buzz%29 (physics buzz)] | ||
+ | [http://www.i4u.com/2016/10/115998/new-brain-simulator-helps-surgeons-plan-operations (i4u)] | ||
+ | [http://phys.org/news/2016-09-team-simulates-strain-brain-surgery.html (phys org)] | ||
+ | [http://neurosciencenews.com/math-brain-damage-neurosurgery-5141/ (neurosciences news)] | ||
+ | [https://scienceblog.com/488245/team-simulates-inner-strain-brain-better-plan-surgery/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+scienceblogrssfeed+%28ScienceBlog.com%29 (science blog)] | ||
+ | [http://physicsworld.com/cws/article/news/2016/sep/28/simulating-inner-strain-that-causes-brains-to-bulge (physics world)] | ||
+ | |||
+ | Weickenmeier J, Kuhl E, Goriely A. | ||
+ | The mechanics of decompressive craniectomy: Bulging in idealized geometries. | ||
+ | J Mech Phys Solids. 2016;96:572-590. | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS16.pdf (download)] | ||
+ | |||
+ | Narayan SM, Baykaner T, Sahli Costabal F, Kuhl E. | ||
+ | Terminating atrial fibrillation by cooling the heart. | ||
+ | Heart Rhythm. 2016;13:2259-2260. | ||
+ | [http://biomechanics.stanford.edu/paper/HEART16.pdf (download)] | ||
+ | |||
+ | Weickenmeier J, de Rooij R, Budday S, Steinmann P, Ovaert TC, Kuhl E. | ||
+ | Brain stiffness increases with myelin content. | ||
+ | Acta Biomat. 2016;42:265-272. | ||
+ | [http://biomechanics.stanford.edu/paper/ACTBM16.pdf (download)] | ||
+ | |||
+ | Lejeune E, Javili A, Weickenmeier J, Kuhl E, Linder C. | ||
+ | Tri-layer wrinkling as a mechanism for anchoring center initiation in the developing cerebellum. | ||
+ | Soft Matter. 2016;12:5613-5620. | ||
+ | [http://biomechanics.stanford.edu/paper/SOFTM16.pdf (download)] | ||
+ | |||
+ | Ploch CC, Mansi CSSA, Jayamohan J, Kuhl E. | ||
+ | Using 3D printing to create personalized brain models for neurosurgical training and preoperative planning. | ||
+ | World Neurosurg. 2016;90:668-674. | ||
+ | [http://biomechanics.stanford.edu/paper/WNS16.pdf (download)], [http://biomechanics.stanford.edu/paper/WNS16p.pdf (perspectives)] | ||
+ | |||
+ | Sack KL, Baillargeon B, Acevedo-Bolton G, Genet M, Rebelo N, Kuhl E, Klein L, Weiselthaler GM, Burkhoff D, Franz T, Guccione JM. | ||
+ | Partial LVAD restores ventricular outputs and normalizes LV but not RV stress distributions in the acutely failing heart in silico. | ||
+ | Int J Artificial Organs. 2016;39:421-430 | ||
+ | [http://biomechanics.stanford.edu/paper/IJAO16.pdf (download)] | ||
+ | [http://www.artificial-organs.com/article/a520da8e-9b5a-4f53-98a3-fc9d740292c1# (open access)] | ||
+ | |||
+ | Sahli Costabal F, Hurtado DE, Kuhl E. | ||
+ | Generating Purkinje networks in the human heart. | ||
+ | J Biomech. 2016;49:2455-2465. | ||
+ | [http://biomechanics.stanford.edu/paper/JBIOM16.pdf (download)] | ||
+ | [https://github.com/fsahli/fractal-tree (download code from github)] | ||
+ | [https://simtk.org/scm/?group_id=1057 (download code from simtk)] | ||
+ | |||
+ | Eskandari M, Javili A, Kuhl E. | ||
+ | Elastosis during airway wall remodeling explains multiple coexisting | ||
+ | instability patterns. | ||
+ | J Theor Bio. 2016;403:209-218. | ||
+ | [http://biomechanics.stanford.edu/paper/JTBIO16.pdf (download)] | ||
+ | |||
+ | Buganza Tepole A, Gart M, Purnell CA, Gosain AK, Kuhl E. | ||
+ | The incompatibility of living systems: | ||
+ | Characterizing growth-induced incompatibilities in expanded skin. | ||
+ | Ann Biomed Eng. 2016;44:1734-1752. | ||
+ | [http://biomechanics.stanford.edu/paper/ABME16a.pdf (download)] | ||
+ | |||
+ | de Rooij R, Kuhl E. | ||
+ | Constitutive modeling of brain tissue: current perspectives. | ||
+ | Appl Mech Rev. 2016;68:010801-1-010801-16. | ||
+ | [http://biomechanics.stanford.edu/paper/AMR16.pdf (download)] | ||
+ | |||
+ | Saez P, Kuhl E. | ||
+ | Computational modeling of acute myocardial infarction. | ||
+ | Comp Meth Biomech Biomed Eng. 2016;19:1107-1115. | ||
+ | [http://biomechanics.stanford.edu/paper/CMBBE15a.pdf (download)] | ||
+ | |||
+ | Chabiniok R, Wang V, Hadjicharalambous M, Asner L, Lee J, Sermesant M, Kuhl E, Young A, Moireau P, Nash M, Chapelle D, Nordsletten DA. | ||
+ | Multiphysics and multiscale modeling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics. | ||
+ | Interface Focus. 2016;6:20150083. | ||
+ | [http://biomechanics.stanford.edu/paper/IFOCUS16.pdf (download)] | ||
+ | |||
+ | Genet M, Lee LC, Baillargeon B, Guccione JM, Kuhl E. | ||
+ | Modeling pathologies of systolic and diastolic heart failure. | ||
+ | Ann Biomed Eng. 2016;44:112-127. | ||
+ | [http://biomechanics.stanford.edu/paper/ABME16.pdf (download)] | ||
+ | [http://link.springer.com/article/10.1007/s10439-015-1351-2 (open access)] | ||
+ | [http://biomechanics.stanford.edu/paper/LivingHeartEK.mp4 (video)] | ||
+ | |||
+ | Buganza Tepole A, Kuhl E. | ||
+ | Computational modeling of chemo-bio-mechanical coupling: A systems-biology approach towards wound healing. | ||
+ | Comp Meth Biomech Biomed Eng. 2016;19:13-30. | ||
+ | [http://biomechanics.stanford.edu/paper/CMBBE16.pdf (download)] | ||
+ | |||
+ | <div class="publicationheader">2015</div> | ||
+ | |||
+ | van den Bedem H, Kuhl E. | ||
+ | Tau-ism: the Yin and Yang of microtubule sliding, detachment, and rupture. | ||
+ | Biophys J. 2015;109:2215-2217. | ||
+ | [http://biomechanics.stanford.edu/paper/BIOPJ15.pdf (download)] | ||
+ | |||
+ | Goriely A, Budday S, Kuhl E. | ||
+ | Neuromechanics: from neurons to brain. | ||
+ | Adv Appl Mech. 2015;48:79-139. | ||
+ | [http://biomechanics.stanford.edu/paper/AAM15.pdf (download)] | ||
+ | |||
+ | Budday S, Steinmann P, Kuhl E. | ||
+ | Secondary instabilities modulate cortical complexity in the mammalian brain. | ||
+ | Phil Mag. 2015;95:3244-3256. | ||
+ | [http://biomechanics.stanford.edu/paper/PHILM15a.pdf (download)] | ||
+ | |||
+ | Budday S, Kuhl E, Hutchinson JW. | ||
+ | Period-doubling and period-tripling in growing bilayered systems. | ||
+ | Phil Mag. 2015;95:3208-3224. | ||
+ | [http://biomechanics.stanford.edu/paper/PHILM15.pdf (download)] | ||
+ | |||
+ | Eskandari M, Kuhl E. | ||
+ | Systems biology and mechanics of growth. | ||
+ | WIREs Syst Biol Med. 2015;7:401-412. | ||
+ | [http://biomechanics.stanford.edu/paper/SYSBM15.pdf (download)] | ||
+ | |||
+ | Budday S, Steinmann P, Goriely A, Kuhl E. | ||
+ | Size and curvature regulate pattern selection in the mammalian brain. | ||
+ | Extr Mech Lett. 2015;4:193-198. | ||
+ | [http://biomechanics.stanford.edu/paper/EML15.pdf (download)] | ||
+ | |||
+ | Buganza Tepole A, Gart M, Purnell CA, Gosain AK, Kuhl E. | ||
+ | Multi-view stereo analysis reveals anisotropy of prestrain, deformation, and growth in living skin. | ||
+ | Biomech Mod Mechanobio. 2015;14:1007-1019. | ||
+ | [http://biomechanics.stanford.edu/paper/BMECH15d.pdf (download)] | ||
+ | |||
+ | Goriely A, Geers MGD, Holzapfel GA, Jayamohan J, Jerusalem A, Sivaloganathan S, Squier W, van Dommelen JAW, Waters S, Kuhl E. | ||
+ | Mechanics of the brain: Perspectives, challenges, and opportunities. | ||
+ | Biomech Mod Mechanobio. 2015;14:931-965. | ||
+ | [http://biomechanics.stanford.edu/paper/BMECH15c.pdf (download)] | ||
+ | [http://link.springer.com/article/10.1007/s10237-015-0662-4 (open access)] | ||
+ | |||
+ | Eskandari M, Kuschner WG, Kuhl E. | ||
+ | Patient-specific airway wall remodeling in chronic lung disease. | ||
+ | Ann Biomed Eng. 2015;10:2538-2551. | ||
+ | [http://biomechanics.stanford.edu/paper/ABME15a.pdf (download)] | ||
+ | |||
+ | Javili A, Dortdivanlioglu B, Kuhl E, Linder C. | ||
+ | Computational aspects of growth-induced instabilities. | ||
+ | Comp Mech. 2015;56:405-420. | ||
+ | [http://biomechanics.stanford.edu/paper/CMECH15.pdf (download)] | ||
+ | |||
+ | Budday S, Steinmann P, Kuhl E. | ||
+ | Physical biology of human brain development. | ||
+ | Front Cell Neurosci. 2015;9:257. | ||
+ | [http://journal.frontiersin.org/article/10.3389/fncel.2015.00257/pdf (download)] | ||
+ | [http://biomechanics.stanford.edu/paper/FRONT15.pdf (download)] [http://journal.frontiersin.org/article/10.3389/fncel.2015.00257/full (open access)] | ||
+ | |||
+ | Buganza Tepole A, Kabaria H, Bletzinger KU, Kuhl E. | ||
+ | Isogeometric Kirchhoff-Love shell formulations for biological membranes. | ||
+ | Comp Meth Appl Mech Eng. 2015;293:328-347. | ||
+ | [http://biomechanics.stanford.edu/paper/CMAME15.pdf (download)] | ||
+ | |||
+ | Baillargeon B, Costa I, Leach JR, Lee LC, Genet M, Toutain A, Wenk JF, Rausch MK, Rebelo N, Acevedo-Bolton G, Kuhl E, Navia JL, Guccione JM. | ||
+ | Human cardiac function simulator for the optimal design of a novel annuloplasty ring with a sub-valvular element for correction of ischemic mitral regurgitation. | ||
+ | Cardiovasc Eng Tech. 2015;6:105-116. | ||
+ | [http://biomechanics.stanford.edu/paper/CVET15.pdf (download)] | ||
+ | [http://biomechanics.stanford.edu/paper/LivingHeartEK.mp4 (video)] | ||
+ | |||
+ | Genet M, Rausch MK, Lee LC, Choy S, Zhao X, Kassab GS, Kozerke S, Guccione JM, Kuhl E. | ||
+ | Heterogeneous growth-induced prestrain in the heart. | ||
+ | J Biomech. 2015;48:2080-2089. | ||
+ | [http://biomechanics.stanford.edu/paper/JBIOM15.pdf (download)] | ||
+ | |||
+ | Holland MA, Miller KE, Kuhl E. | ||
+ | Emerging brain morphologies from axonal elongation. | ||
+ | Ann Biomed Eng. 2015;43:1640-1653. | ||
+ | [http://biomechanics.stanford.edu/paper/ABME15.pdf (download)] | ||
+ | |||
+ | Wong J, Kuhl E, Darve E. | ||
+ | A new sparse matrix vector multiplication GPU algorithm designed for finite element problems. | ||
+ | Int J Num Meth Eng. 2015;102:1784-1814. | ||
+ | [http://biomechanics.stanford.edu/paper/IJNME15.pdf (download)] | ||
+ | |||
+ | Budday S, Nay R, de Rooij R, Steinmann P, Wyrobek T, Ovaert TC, Kuhl E. | ||
+ | Mechanical properties of gray and white matter brain tissue by indentation. | ||
+ | J Mech Behavior Biomed Mat. 2015;46:318-330. | ||
+ | [http://biomechanics.stanford.edu/paper/JMBBM15.pdf (download)] | ||
+ | |||
+ | Raaz U, Zöllner AM, Schellinger IN, Toh R, Nakagami F, Brandt M, Emrich FC, Kayama Y, Eken S, Adam M, Maegdefessel L, Hertel T, Deng A, Jagger A, Buerke M, Dalman RL, Spin JM, Kuhl E, Tsao PS. | ||
+ | Segmental aortic stiffening contributes to experimental abdominal aortic aneurysm development. | ||
+ | Circulation. 2015;131:1783-1795. | ||
+ | [http://biomechanics.stanford.edu/paper/CIRC15.pdf (download)] | ||
+ | [http://biomechanics.stanford.edu/paper/CIRC15editorial.pdf (editorial)] | ||
+ | |||
+ | Balbi V, Kuhl E, Ciarletta P. | ||
+ | Morphoelastic control of gastro-intestinal organogenesis: | ||
+ | theoretical predictions and numerical insights. | ||
+ | J Mech Phys Solids. 2015;78:493-510. | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS15.pdf (download)] | ||
+ | |||
+ | Wisdom KM, Delp SL, Kuhl E. | ||
+ | Use it or lose it: | ||
+ | Multiscale skeletal muscle adaptation to mechanical stimuli. | ||
+ | Biomech Model Mechanobio. 2015;14:195-215. | ||
+ | [http://biomechanics.stanford.edu/paper/BMMB15b.pdf (download)] | ||
+ | |||
+ | Lee LC, Genet M, Acevedo-Bolton G, Ordovas K, Guccione JM, Kuhl E. | ||
+ | A computational model predicts reverse growth in response to mechanical unloading. | ||
+ | Biomech Model Mechanobio. 2015;14:217-229. | ||
+ | [http://biomechanics.stanford.edu/paper/BMMB15a.pdf (download)] | ||
+ | |||
+ | Zöllner AM, Pok JM, McWalter EJ, Gold GE, Kuhl E. | ||
+ | On high heels and short muscles: | ||
+ | A multiscale model for sarcomere loss in the gastrocnemius muscle. | ||
+ | J Theor Bio. 2015;365:301–310. | ||
+ | [http://biomechanics.stanford.edu/paper/JTBIO15.pdf (download)] | ||
+ | |||
+ | Checa S, Rausch MK, Petersen A, Kuhl E, Duda GN. | ||
+ | The emergence of extracellular matrix mechanics and cell traction forces as important regulators of cellular self-organization. | ||
+ | Biomech Mod Mechanobio. 2015;14:1-13. | ||
+ | [http://biomechanics.stanford.edu/paper/BMMB15.pdf (download)] | ||
+ | |||
+ | <div class="publicationheader">2014</div> | ||
+ | |||
+ | Ciarletta P, Balbi V, Kuhl E. | ||
+ | Pattern selection in growing tubular tissues. | ||
+ | Phys Rev Lett. 2014;113:248101. | ||
+ | [http://biomechanics.stanford.edu/paper/PRL14.pdf (download)] | ||
+ | [http://physics.aps.org/synopsis-for/10.1103/PhysRevLett.113.248101 (synopsis)] | ||
+ | [http://biomechanics.stanford.edu/paper/BCR16.pdf (computing the gut)] | ||
+ | |||
+ | Buganza Tepole A, Gart M, Gosain AK, Kuhl E. | ||
+ | Characterization of living skin using multi view stereo and isogeometric analysis. | ||
+ | Acta Biomat. 2014;10:4822-4831. | ||
+ | [http://biomechanics.stanford.edu/paper/ABM14.pdf (download)] | ||
+ | |||
+ | Buganza Tepole A, Steinberg JP, Kuhl E, Gosain AK. | ||
+ | Application of finite element modeling to optimize flap design with tissue expansion. | ||
+ | Plast Reconstr Surgery. 2014;134:785-792. | ||
+ | [http://biomechanics.stanford.edu/paper/PRSUR14.pdf (download)] | ||
+ | |||
+ | Budday S, Steinmann P, Kuhl E. | ||
+ | The role of mechanics during brain development. | ||
+ | J Mech Phys Solids. 2014;72:75-92. | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS14b.pdf (download)] | ||
+ | [http://www.sciencedirect.com/science/article/pii/S0022509614001483 (open access)] | ||
+ | |||
+ | Göktepe S, Menzel A, Kuhl E. | ||
+ | The generalized Hill model: | ||
+ | A kinematic approach towards active muscle contraction. | ||
+ | J Mech Phys Solids. 2014;72:20-39. | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS14a.pdf (download)] | ||
+ | |||
+ | Baillargeon B, Rebelo N, Fox DD, Taylor RL, Kuhl E. | ||
+ | The Living Heart Project: | ||
+ | A robust and integrative simulator for human heart function. | ||
+ | Eur J Mech A/Solids. 2014;48:38-47. | ||
+ | [http://biomechanics.stanford.edu/paper/EJMSOL14.pdf (download)] | ||
+ | [http://www.sciencedirect.com/science/article/pii/S0997753814000564 (open access)] | ||
+ | [https://www.youtube.com/watch?v=6hsx_da1vVs (movie)] | ||
+ | |||
+ | Vogel F, Göktepe S, Steinmann P, Kuhl E. | ||
+ | Modeling and simulation of viscous electro-active polymers. | ||
+ | Eur J Mech A/Solids. 2014;48:112-128. | ||
+ | [http://biomechanics.stanford.edu/paper/EJMSOL14a.pdf (download)] | ||
+ | |||
+ | Buganza Tepole A, Gosain AK, Kuhl E. | ||
+ | Computational modeling of skin: | ||
+ | Using stress profiles as predictor for tissue necrosis in reconstructive surgery. | ||
+ | Comp & Struct. 2014;143:32-39. | ||
+ | [http://biomechanics.stanford.edu/paper/CSTRU14.pdf (download)] | ||
+ | |||
+ | Budday S, Raybaud C, Kuhl E. | ||
+ | A mechanical model predicts morphological abnormalities in the developing human brain. | ||
+ | Sci Rep. 2014;4:5644. | ||
+ | [http://biomechanics.stanford.edu/paper/SREP14.pdf (download)] | ||
+ | [http://www.nature.com/srep/2014/140710/srep05644/full/srep05644.html (open access)] | ||
+ | |||
+ | Saez P, Pena E, Martinez MA, Kuhl E. | ||
+ | Computational modeling of hypertensive growth in the human carotid artery. | ||
+ | Comp Mech. 2014;53:1183-1196. | ||
+ | [http://biomechanics.stanford.edu/paper/CMECH14.pdf (download)] | ||
Wong J, Kuhl E. | Wong J, Kuhl E. | ||
Generating fiber orientation maps in human heart models using Poisson interpolation. | Generating fiber orientation maps in human heart models using Poisson interpolation. | ||
− | Comp Meth Biomech Biomed Eng. | + | Comp Meth Biomech Biomed Eng. 2014;17:1217-1226. |
[http://biomechanics.stanford.edu/paper/CMBBE13b.pdf (download)] | [http://biomechanics.stanford.edu/paper/CMBBE13b.pdf (download)] | ||
+ | |||
+ | Hurtado DE, Kuhl E. | ||
+ | Computational modelling of electrocardiograms: | ||
+ | Repolarisation and T-wave polarity in the human heart. | ||
+ | Comp Meth Biomech Biomed Eng. 2014;17:986-996. | ||
+ | [http://biomechanics.stanford.edu/paper/CMBBE13a.pdf (download)] | ||
+ | |||
+ | Rausch MK, Kuhl E. | ||
+ | On the mechanics of growing thin biological membranes. | ||
+ | J Mech Phys Solids. 2014;63:128-140. | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS14.pdf (download)] | ||
+ | |||
+ | Kuhl E. | ||
+ | Growing matter - A review of growth in living systems. | ||
+ | J Mech Behavior Biomed Mat. 2014;29:529-543. | ||
+ | [http://biomechanics.stanford.edu/paper/JMBBM14a.pdf (download)] | ||
+ | |||
+ | Javili A, Steinmann P, Kuhl E. | ||
+ | A novel strategy to identify the critical conditions for growth-induced instabilities. | ||
+ | J Mech Behavior Biomed Mat. 2014;29:20-32. | ||
+ | [http://biomechanics.stanford.edu/paper/JMBBM14.pdf (download)] | ||
+ | |||
+ | <div class="publicationheader">2013</div> | ||
+ | |||
+ | Eskandari M, Pfaller MR, Kuhl E. | ||
+ | On the role of mechanics in chronic lung disease. | ||
+ | Materials. 2013;6:5639-5658. | ||
+ | [http://biomechanics.stanford.edu/paper/MATER13.pdf (download)] | ||
+ | [http://www.mdpi.com/1996-1944/6/12/5639 (open access)] | ||
+ | |||
+ | Zöllner AM, Holland MA, Honda KS, Gosain AK, Kuhl E. | ||
+ | Growth on demand - Reviewing the mechanobiology of stretched skin. | ||
+ | J Mech Behavior Biomed Mat. 2013;28:495-509. | ||
+ | [http://biomechanics.stanford.edu/paper/JMBBM13.pdf (download)] | ||
Saez P, Pena E, Martinez MA, Kuhl E. | Saez P, Pena E, Martinez MA, Kuhl E. | ||
Mathematical modeling of collagen turnover in biological tissue. | Mathematical modeling of collagen turnover in biological tissue. | ||
− | J Math Bio. | + | J Math Bio. 2013;67:1765-1793. |
[http://biomechanics.stanford.edu/paper/JMBIO13.pdf (download)] | [http://biomechanics.stanford.edu/paper/JMBIO13.pdf (download)] | ||
− | + | Wong J, Göktepe S, Kuhl E. | |
− | Computational modeling of | + | Computational modeling of chemo-electro-mechanical coupling: |
− | + | A novel implicit monolithic finite element approach. | |
− | [http://biomechanics.stanford.edu/paper/ | + | Int J Num Meth Biomed Eng. 2013;29:1104-1133. |
+ | [http://biomechanics.stanford.edu/paper/IJNMB13.pdf (download)] | ||
+ | |||
+ | Rausch MK, Famaey N, O'Brien Shultz T, Bothe W, Miller DC, Kuhl E. | ||
+ | Mechanics of the mitral valve: A critical review, an in vivo parameter identification, and the effect of prestrain. Biomech Mod Mechanobio. 2013;12:1053-1071. | ||
+ | [http://biomechanics.stanford.edu/paper/BMMB13a.pdf (download)] | ||
+ | |||
+ | Rausch MK, Tibayan FA, Ingels NB, Miller DC, Kuhl E. | ||
+ | Mechanics of the mitral annulus in chronic ischemic cardiomyopathy. | ||
+ | Ann Biomed Eng. 2013;41:2171-2180. | ||
+ | [http://biomechanics.stanford.edu/paper/ABME13.pdf (download)] | ||
+ | |||
+ | Rausch MK, Kuhl E. | ||
+ | On the effect of prestrain and residual stress in thin biological membranes. | ||
+ | J Mech Phys Solids. 2013;61:1955-1969. | ||
+ | [http://biomechanics.stanford.edu/paper/JMPS13a.pdf (download)] | ||
+ | |||
+ | Holland MA, Kosmata T, Goriely A, Kuhl E. | ||
+ | On the mechanics of thin films and growing surfaces. | ||
+ | Math Mech Solids. 2013;18:561-575. | ||
+ | [http://biomechanics.stanford.edu/paper/JMMS13.pdf (download)] | ||
Papastavrou A, Steinmann P, Kuhl E. | Papastavrou A, Steinmann P, Kuhl E. | ||
Line 153: | Line 1,157: | ||
PLoS ONE, 2012;7(10):e45661. | PLoS ONE, 2012;7(10):e45661. | ||
[http://biomechanics.stanford.edu/paper/PLOS12.pdf (download)] | [http://biomechanics.stanford.edu/paper/PLOS12.pdf (download)] | ||
− | [http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0045661 ( | + | [http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0045661 (open access)] |
Bothe W, Rausch MK, Kvitting JP, Echtner DK, Walther M, Ingels NB, Kuhl E, Miller DC. | Bothe W, Rausch MK, Kvitting JP, Echtner DK, Walther M, Ingels NB, Kuhl E, Miller DC. | ||
Line 246: | Line 1,250: | ||
Biophys J, 2011;101:1326-1334. | Biophys J, 2011;101:1326-1334. | ||
[http://biomechanics.stanford.edu/paper/BIOPJ11.pdf (download)] | [http://biomechanics.stanford.edu/paper/BIOPJ11.pdf (download)] | ||
+ | [http://www.sciencedirect.com/science/article/pii/S000634951100943X (open access)] | ||
[http://med.stanford.edu/ism/2011/september/cardiomyocyte.html (report)] | [http://med.stanford.edu/ism/2011/september/cardiomyocyte.html (report)] | ||
Line 332: | Line 1,337: | ||
Characterization of indentation response and stiffness reduction of bone using a continuum damage model. | Characterization of indentation response and stiffness reduction of bone using a continuum damage model. | ||
J Mech Behavior Biomed Mat, 2010;3:189-202. | J Mech Behavior Biomed Mat, 2010;3:189-202. | ||
− | [http://biomechanics.stanford.edu/paper/ | + | [http://biomechanics.stanford.edu/paper/JMBBM10.pdf (download)] |
Göktepe S, Kuhl E. | Göktepe S, Kuhl E. | ||
Line 477: | Line 1,482: | ||
An illustration of the equivalence of the loss of ellipticity conditions in spatial and material settings of hyperelasticity. | An illustration of the equivalence of the loss of ellipticity conditions in spatial and material settings of hyperelasticity. | ||
Eur J Mech/A: Solids. 2006;25:199-214. | Eur J Mech/A: Solids. 2006;25:199-214. | ||
− | [http://biomechanics.stanford.edu/paper/ | + | [http://biomechanics.stanford.edu/paper/EJMSOL06.pdf (download)] |
<div class="publicationheader">2005</div> | <div class="publicationheader">2005</div> | ||
Line 590: | Line 1,595: | ||
Microplane modelling of cohesive frictional materials. | Microplane modelling of cohesive frictional materials. | ||
Eur J Mech/A:Solids; 2000;19:S121-S143. | Eur J Mech/A:Solids; 2000;19:S121-S143. | ||
− | [http://biomechanics.stanford.edu/paper/ | + | [http://biomechanics.stanford.edu/paper/EJMSOL00.pdf (download)] |
Kuhl E, D'Addetta GA, Herrmann HJ, Ramm E. | Kuhl E, D'Addetta GA, Herrmann HJ, Ramm E. | ||
Line 607: | Line 1,612: | ||
Parameter identification of gradient enhanced damage models with the finite element method. | Parameter identification of gradient enhanced damage models with the finite element method. | ||
Eur J Mech/A: Solids. 1999;18:819-835. | Eur J Mech/A: Solids. 1999;18:819-835. | ||
− | [http://biomechanics.stanford.edu/paper/ | + | [http://biomechanics.stanford.edu/paper/EJMSOL99.pdf (download)] |
<div class="publicationheader">1998</div> | <div class="publicationheader">1998</div> | ||
Line 634: | Line 1,639: | ||
TU Kaiserslautern. 2004. | TU Kaiserslautern. 2004. | ||
[http://biomechanics.stanford.edu/paper/HABIL04.pdf (download)] | [http://biomechanics.stanford.edu/paper/HABIL04.pdf (download)] | ||
+ | |||
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+ | <td><img src="coauthors20/10.jpg"> | ||
+ | <td><img src="coauthors20/17.jpg"> | ||
+ | <td><img src="coauthors20/2.jpg"> | ||
+ | <td><img src="coauthors20/15.jpg"> | ||
+ | <td><img src="coauthors20/9.jpg"> | ||
+ | </tr> | ||
+ | </table> | ||
+ | </center> | ||
+ | </html> | ||
+ | |||
+ | professor harm askes (university of sheffiled, uk), | ||
+ | professor paul steinmann (university of erlangen-nuremberg, germany), | ||
+ | professor dani schmid (university of oslo, norway), | ||
+ | professor swantje bargmann (tu hamburg harburg, germany), | ||
+ | professor bert sluys (tu delft, the netherlands), | ||
+ | m sc alberto bordallo (tu delft, the netherlands), | ||
+ | professor julia mergheim (university of erlangen-nuremberg, germany), | ||
+ | dr ing rouven mohr (tu kaiserslautern, germany), | ||
+ | dr ing holger meier (tu kaiserslautern, germany), | ||
+ | professor angelo simone (tu delft, the netherlands), | ||
+ | dr terry bennett (university of sheffield, uk), | ||
+ | dr ir martijn stroeven (tu delft, the netherlands), | ||
+ | dr ing grieta himpel (tu kaiserslautern, germany), | ||
+ | professor andreas menzel (tu dortmund, germany), | ||
+ | professor sigrid leyendecker (university of erlangen-nuremberg, usa), | ||
+ | professor akke suiker (tu eindhoven, the netherlands), | ||
+ | dr ing philippe jaeger (tu kaiserslautern, germany) |
Latest revision as of 09:19, 6 May 2024
college campuses are COVID-19 superspreaders forbes, US news & world report
are colleges superspreaders inside higher ed
college campuses can be superspreaders? academic times
are college campuses COVID-19 superspreaders? t&f press release, united press international
new study suggests that campuses are COVID-19 superspreaders eurekalert!, healthday
les campus universitaires sont des super-epandeurs crumpi
reopening college campuses could initiate superspreading med life sciences
a new class explores how to safely reopen a campus during covid-19 stanford report reopening paper
data-driven modeling of covid-19-lessons learned.
webinar announcement
webinar
paper
what will happen if we can't produce a vaccine? the conversation
MD testifies about covid-19 transmission risks of lifting NL travel ban cbc cmech paper
NL doctor testifies about covid-19 transmission risks of lifting travel ban
atlantic ctv news cmech paper
pandemie: des chercheurs du RU s'interessent au cas de TNL
radio canada medRxiv paper
how COVID-19 spread has been contained by travel bans science daily infosurhoy cmbbe paper
is it safe to lift COVID-19 travel bans?
medical life sciences the newfoundland story
covid-19 travel restrictions have saved millions of people health24 medRxiv Rvalues
how COVID-19 spread has been contained by travel bans press release cmbbe paper mobility paper
was haben die grenzschliessungen tatsachlich gebracht? swiss public radio
wie sinnvoll sind reisebeschrankungen wirklich? welt cmbbe paper
so bremsen reisebeschrankungen das coronavirus aus mdr wissen medRxiv Rvalues
using math to understand COVID-19 outbreak dynamics stanford medicine bmmb paper
asymptomatic
predict covid's spread and recovery stanford engineering medRxiv in the us medRxiv in europe
AI offers paradigm shift in study of brain injury
stanford news
passionate scientist and triathlete interview
simulation of complex brain surgery with a personalized brain model benchmark feature
a physical model for neurodegenerative disease physics focus
stanford-led team simulates how alzheimer’s disease spreads through the brain stanford report
4 awesome discoveries you probably didn't hear about this week nsf
connecting the dots of alzheimer’s disease scope feature aimbe feature
model maps domino effect of alzheimer’s protein misfolding futury
team simulates how alzheimer's disease spreads through the brain
phys.org
newsline
17ok
video shows how alzheimer's might kill brain cells
newsweek
new research may totally turn understanding of dementia on its head biospace
how alzheimer's spreads in brain captured by computer model newsmax
new simulation shows how alzheimer’s spreads
my science
researchers model how toxic proteins course through the brain stevens news
digital brain model reveals how toxic proteins cause brain diseases medindia
researchers model how toxic proteins course through the brain, lead to disease
phys.org
this is a brain taken over by alzheimer's gizmodo
un modele informatique simule la facon dont la maladie d’alzheimer se propage recherche
Ученые визуализировали развитие нейродегенеративных заболеваний n+1
mechanical forces may underlie brain's development and some diseases stanford report
gehirnmechanik? gamm rundbrief 01/18
skin wrinkling featured on the cover of soft matter soft matter
hyperion innovation excellence award goes to ubercloud and stanford living heart project inside hpc
hpc wire editors' choice award for best use of hpc in the cloud hpc wire drug paper
stanford and ubercloud take living heart simulations to the cloud
uber cloud
physical model of skull growth prl focus
geometry, skull growth and brain mechanics phys.org
stanford researchers design new brain simulation tool youtube
stanford simulator predicts brain swelling to guide surgeons
engadget
new brain simulator helps surgeons plan operations i4u
the inner strain on the brain
stanford report, science blog, phys org
maths gives insights into damage during brain surgery
oxford science blog, neuroscience news
simulating inner strain that causes brains to bulge physics world
when the brain bulges
physics buzz
medical image segmentation for simulating brain surgery synopsys feature
understanding damage during brain surgery oxford math
unfolding the brain feature on brain folding, brains, and more brains, und gehirne
feature on our bioX seed grant on stanford scope
research within the living heart project living heart video, on 3ds youtube
computing the gut biomedical computation review
international brain mechanics and trauma lab ibmtl video
mechanical engineering magazine the digital heart
boston globe living heart project brings a beat to 3d
american physical society - spotlight exceptional research getting the wrinkles out
the living heart project - emily's story the living heart project
simulating stanford students community news
skin growth's role in reconstructive surgery simbios video
researchers envision switching a heart beat on and off with light NSF discovery
frontiers in growth and remodeling advances in engineering
the science of light and vision AAAS science update 11/04/11
light-based pace maker AAAS science update 11/16/11
first human heart cells that can be paced with light here
das herz schlägt heller deutschlandfunk 01/04/12 full text
under the hood biomedical computation review spring 2011
check out our stanford e14 statics course on youtube here
and the eth zurich statics version here
St. Pierre SR, Darwin EC, Adil D, Aviles MC, Date A, Dunne RA, Lall Y, Parra Vallecillo M, Perez Medina VA, Linka K, Levenston ME, Kuhl E. Got meat? The mechanical signature of plant-based and animal meat. 2024; doi:10.1101/2024.04.25.591207. (download) (bioRxiv)
Linka K, Kuhl E. Best-in-class modeling: A novel strategy to discover constitutive models for soft matter systems. 2024; doi:10.48550/arXiv.2404.06725. (download) (arXiv)
St Pierre SR, Kaczmarski B, Peirlinck M, Kuhl E. Sex-specific cardiovascular risk factors in the UK Biobank. Front Physiology 2024; 15: 1339866. (download) (frontiers)
McCulloch JA, St. Pierre SR, Linka K, Kuhl E. On sparse regression, Lp-regularization, and automated model discovery. Int J Num Meth Eng 2024; e7481. (download) (ijnme)
Kuhl E, Goriely A. I too love I2: A new class of hyperelastic isotropic incompressible models based solely on the second invariant. J Mech Phys Solids. 2024; 188: 105670. (download) (jmps)
Martonova D, Peirlinck M, Linka K, Holzapfel GA, Leyendecker S, Kuhl E. Automated model discovery for human cardiac tissue: Discovering the best model and parameters. bioRxiv. 2024. doi:10.1101/2024.02.27.582427. (download) (bioRxiv)
Peirlinck M, Linka K, Hurtado JA, Holzapfel GA, Kuhl E. Democratizing biomedical simulation through automated model discovery and a universal material subroutine. bioRxiv. 2023; doi:10.1101/2023.12.06.570487. (download) (bioRxiv)
Peirlinck M, Hurtado JA, Rausch MK, Buganza Tepole A, Kuhl E. A universal material model subroutine for soft matter systems. (download) (arXiv)
Kaczmarski B, Leanza S, Zhao R, Kuhl E.Moulton DE, Goriely A. Minimal design of the elephant trunk as an active filament. Phys Rev Lett. 2024; in press. (download) (prl)
Leanza S, Lu-Yang J, Kaczmarski B, Wu S, Kuhl E, Zhao RR. Elephant trunk inspired multimodal deformations and movements of soft robotic arms. Adv Funct Mat. 2024; 202400396. (download) (adfm)
Peirlinck M, Linka K, Hurtado JA, Kuhl E. On automated model discovery and a universal material subroutine for hyperelastic materials. Comp Meth Appl Mech Eng. 2024; 418: 116534. (download) (cmame)
Zhang Z, Zou Z, Kuhl E, Karniadakis GE. Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression. Comp Meth Appl Mech Eng. 2024; 419: 116647. (download) (cmame)
Holthusen H, Lamm L, Brepols T, Reese S, Kuhl E. Theory and implementation of inelastic Artificial Constitutive Neural Networks. arXiv. 2023; doi:10.48550/arXiv.2311.06380. (download) (arXiv)
Tac V, Linka K, Sahli Costabal F, Kuhl E, Buganza Tepole A. Benchmarks for physics-informed data-driven hyperelasticity. Comp Mech. 2024; 73: 49-65. (download) (cmech)
Tikenogullari O, Peirlinck M, Chubb H, Dubin AM, Kuhl E, Marsden AL. Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient. Comp Meth Biomech Biomed Eng. 2023; doi: 10.1080/10255842.2023.2222203. (download) (cmbbe)
St Pierre SR, Rajasekharan D, Darwin EC, Linka K, Levenston ME, Kuhl E. Discovering the mechanics of artificial and real meat. Comp Meth Appl Mech Eng. 2023; 415: 116236. (download) (cmame)
Linka K, St Pierre SR, Kuhl E. Automated model discovery for human brain using Constitutive Artificial Neural Networks. Acta Biomat. 2023; 160: 134-151. (download) (actabm) (stanford|news)
Linka K, Buganza Tepole A, Holzapfel GA, Kuhl E. Automated model discovery for skin: Discovering the best model, data, and experiment. Comp Meth Appl Mech Eng. 2023; 410:116007. (download) (cmame)
Linka K, Kuhl E. A new family of Constitutive Artificial Neural Networks towards automated model discovery. Comp Meth Appl Mech Eng. 2023; 403:115731. (download) (cmame)
St Pierre SR, Linka K, Kuhl E. Principal-stretch-based constitutive neural networks autonomously discover a subclass of Ogden models for human brain tissue. Brain Multiphys. 2023; 4:100066. (download) (bmphi)
Wang LM, Linka K, Kuhl E. Automated model discovery for muscle using constitutive recurrent neural networks. J Mech Behav Biomed Mat. 2023; 145: 106021. (download) (jmbbm)
Kaczmarski B, Moulton DE, Goriely A, Kuhl E. Bayesian design optimization of biomimetic soft actuators. Comp Meth Appl Mech Eng. 2023; 408: 115939. (download) (cmame)
Wang LM, Goodman MB, Kuhl E. Image-based axon model highlights heterogeneity in initiation of damage. Biophys J. 2023; 122: 9-19. (download) (biopj)
Wang LM, Kuhl E. Mechanics of axon growth and damage: A systematic review of computational models. Seminars Cell Dev Bio. 2023; 140:13-21. (download) (cell dev bio)
Kaczmarski B, Goriely A, Kuhl E, Moulton DE. A simulation tool for physics-informed control of biomimetic soft robotic arms. IEEE Robotic Automation Lett. 2023; 8: 936-943. (download)
Tikenogullari OZ, Acan AK, Kuhl E, Dal H. Data-driven hyperelasticity – Part II: A canonical framework for anisotropic soft biological tissues. J Mech Phys Solids. 2023; 181: 105453. (download)
Kolawole F, Peirlinck M, Cork TE, Levenston M, Kuhl E, Ennis DB. Validating MRI‐derived myocardial stiffness estimates using in vitro synthetic heart models. Ann Biomed Eng. 2023; 2023; 51:1574-1587. (download)
Linka K, Schafer A, Meng X, Zou Z, Karniadakis GE, Kuhl E. Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems. Comp Meth Appl Mech Eng. 2022; 402: 115346. (download) (cmame)
Schafer A, Chaggar P, Goriely A, Kuhl E. Correlating tau pathology to brain atrophy using a physics-based Bayesian model. Eng Comp. 2022; 38:3867-3877. (download)
St Pierre SR, Peirlinck M, Kuhl E. Sex matters: A comprehensive comparison of female and male hearts. Front Physiology. 2022; 13:831179. (download) (frontiers)
Tikenogullari OZ, Sahli Costabal F, Yao J, Marsden A, Kuhl E. How viscous is the beating heart? Insights from a computational study. Comp Mech. 2022; 70:565-579. (download) (comp mech)
Peirlinck M, Yao J, Sahli Costabal F, Kuhl E. How drugs modulate the performance of the human heart. Comp Mech. 2022; 69:1397–1411. (download) (comp mech)
Hoppstadter M, Pullmann D, Seydewitz R, Kuhl E, Bol M. Correlating the microstructural architecture and macrostructural behaviour of the brain. Acta Biomat. 2022; 151:379–395. (download) (actabm)
Kaczmarski B, Moulton DE, Kuhl E, Goriely A. Active filaments I: Curvature and torsion generation. J Mech Phys Solids. 2022; 164:104918. (download) (jmps)
Vastmans J, Maes L, Peirlinck M, Vanderveken E, Rega F, Kuhl E, Famaey N. Growth and remodeling in the pulmonary autograft: computational evaluation using kinematic growth models and constrained mixture theory. Int J Num Meth Biomed Eng. 2022; 38:e3545. (download) (ijnmbe)
Oliveri H, de Rooij R, Kuhl E, Goriely A. Rheology of growing axons. Phys Rev Res. 2022; 4:033125. (download) (phys rev res)
Schafer A, Chaggar P, Thompson TB, Goriely A, Kuhl E. Predicting brain atrophy from tau pathology: a summary of clinical findings and their translation into personalized models. Brain Multiphysics. 2021; 2:100039. (download) (brain multiphysics)
Schafer A, Peirlinck M, Linka K, Kuhl E. Bayesian physics-based modeling of tau propagation in Alzheimer's disease. Front Physiology. 2021; 12:702975. (download) (frontiers)
Peirlinck M, Sahli Costabal F, Kuhl E. Sex differences in drug-induced arrhythmogenesis. Front Physiology. 2021; 12:708435. (download) (frontiers)
Linka K, Peirlinck M, Schafer A, Ziya Tikenogullari O, Goriely A, Kuhl E. Effects of B.1.1.7 and B.1.351 on COVID-19 dynamics. A campus reopening study. Arch Comp Meth Eng. 2021; 28:4225-4236. (download) (open access) (medRxiv)
Lu H, Weintz C, Pace J, Indana D, Linka K, Kuhl E. Are college campuses superspreaders? A data-driven modeling study. Comp Meth Biomech Biomed Eng. 2021; 24:1136-1145. (download) (open access) (medRxiv)
Peirlinck M, Sahli Costabal F, Yao J, Guccione JM, Tripathy S, Wang Y, Ozturk D, Segars P, Morrison TM, Levine S, Kuhl E. Precision medicine in human heart modeling. Perspectives, challenges, and opportunities. Biomech Model Mechanobio; 2021; 20:803-831. (download) (open access)
Linka K, Goriely A, Kuhl E. Global and local mobility as a barometer for COVID-19 dynamics. Biomech Model Mechanobio. 2021; 20:651–669. (open access) (download)
Peng GCY, Alber M, Buganza Tepole A, Cannon W, De S, Dura-Bernal S, Garikipati K, Karniadakis G, Lytton WW, Perdikaris P, Petzold L, Kuhl E. Multiscale modeling meets machine learning: What can we learn? Arch Comp Meth Eng. 2021; 28:1017–1037. (open access) (download)
Bhouri MA, Sahli Costabal F, Wang H, Linka K, Peirlinck M, Kuhl E, Perdikaris P. COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior. Comp Meth Appl Mech Eng. 2021; 382:113891. (download)
Schäfer A, Mormino EC, Kuhl E. Network diffusion modeling explains longitudinal tau PET data. Front Neurosci. 2020; 14:566876. (download) (frontiers)
Linka K, Peirlinck M, Kuhl E. The reproduction number of COVID-19 and its correlation with public heath interventions. Comp Mech. 2020; 66:1035-1050. (download) (computational mechanics) (medRxiv) (medical life sciences) (the conversation)
Peirlinck M, Linka K, Sahli Costabal F, Bendavid E, Bhattacharya J, Ioannidis J, Kuhl E. Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19. Comp Meth Appl Mech Eng. 2020; 372:113410. (download) (medRxiv)
Kuhl E. Data-driven modeling of COVID-19 - Lessons learned. Extr Mech Lett. 2020; 40:100921. (download) (youtube webinar) (EML webinar announcement) (link)
Linka K, Rahman P, Goriely A, Kuhl E. Is it safe to lift COVID-19 travel restrictions? The Newfoundland story. Comp Mech. 2020; 66:1081–1092. (medRxiv) (download) (medical life sciences) (stanford report)
Peirlinck M, Linka K, Sahli Costabal F, Kuhl E. Outbreak dynamics of COVID-19 in China and the United States. Biomech Model Mechanobio. 2020; 19:2179-2193. (medRxiv) (access) (download) (stanford medicine)
Linka K, Peirlinck M, Sahli Costabal F, Kuhl E. Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions. Comp Meth Biomech Biomed Eng. 2020; 23:710-717. (medRxiv) (download) (science daily) (infosurhoy) (health24) (welt) (mdr wissen)
Holland MA, Budday S, Li G, Shen D, Goriely A, Kuhl E. Folding drives cortical thickness variations. Eur Phys J. 2020; 229:2757-2778. (download)
Goriely A, Kuhl E, Bick C. Neuronal oscillations on evolving networks: Dynamics, damage, degradation, decline, dementia, and death. Phys Rev Lett. 2020; 125:128102. (download)
Sahli Costabal F, Seo K, Ashley E, Kuhl E. Classifying drugs by their arrhythmogenic risk using machine learning. Biophys J. 2020; 118:1-12. (open access) (download)
Budday S, Ovaert TC, Holzapfel GA, Steinmann P, Kuhl E. Fifty shades of brain: A review on the material testing and modeling of brain tissue. Arch Comp Meth Eng. 2020; 27:1187-1230. (open access) (download)
Sahli Costabal F, Yang Y, Perdikaris P, Hurtado DE, Kuhl E. Physics-informed neural networks for cardiac activation mapping. Front Phys. 2020; 8:42. (open access) (download)
Kuhl E. Nervous tissue stiffens post injury. Biophys J. 2020; 118:276-278. (download)
Budday S, Kuhl E. Modeling the life cycle of the human brain. Curr Opinion Biomed Eng. 2020; 15:16-25. (download)
Thompson TB, Chaggar P, Kuhl E, Goriely A. Protein-protein interactions in neurodegenerative diseases: A conspiracy theory. PLoS Comp Bio. 2020; 16:e1008267. (open access) (download)
Wang L, Kuhl E. Viscoelasticity of the axon limits stretch-mediated growth. Comp Mech. 2020; 65:587-595. (download)
Fornari S, Schafer A, Kuhl E, Goriely A. Spatially-extended nucleation-aggregation-fragmentation models for the dynamics of prion-like neurodegenerative protein-spreading in the brain and its connectome. Journal of Theoretical Biology. 2020; 486:110102. (open access) (download)
Budday S, Sarem M, Strack L, Sommer G, Pfefferle J, Phunchago N, Kuhl E, Paulsen F, Steinmann P, Shastri VP, Holzapfel GA. Towards microstructure-informed material models for human brain tissue. Acta Biomat. 2020; 104:53-65. (download)
Kuhl E. Connectomics of neurodegeneration. Nat Neurosci. 2019; 22:1200–1202. (open access) (download)
Alber M, Buganza Tepole A, Cannon W, De S, Dura-Bernal S, Garikipati K, Karniadakis G, Lytton WW, Perdikaris P, Petzold L, Kuhl E. Integrating machine learning and multiscale modeling: Perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digital Medicine; 2019; 2:115. (open access) (download)
Fornari S, Schafer A, Jucker M, Goriely A, Kuhl E. Prion-like spreading of Alzheimer's disease within the brain's connectome. J Royal Soc Interface. 2019; 16:20190356. (open access) (download)
Ambrosi D, BenAmar M, Cyron CJ, DeSimone A, Goriely A, Humphrey JD, Kuhl E. Growth and remodelling of living tissues: Perspectives, challenges, and opportunities. J Royal Soc Interface. 2019; 16:20190233. (download)
Weickenmeier J, Jucker M, Goriely A, Kuhl E. A physics-based model explains the prion-like features of neurodegeneration in Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis. J Mech Phys Solids. 2019; 124: 264-281. (open access) (download)
Sahli Costabal F, Matsuno K, Yao J, Perdikaris P, Kuhl E. Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification. Comp Meth Appl Mech Eng. 2019; 348:313-333. (open access) (download)
Schafer A, Weickenmeier J, Kuhl E. The interplay of biochemical and biomechanical degeneration in Alzheimer's disease. Comp Meth Appl Mech Eng. 2019; 352:369-388. (download)
Noel L, Kuhl E. Modeling neurodegeneration in chronic traumatic encephalopathy using gradient damage models. Comp Mech. 2019; 64:1375-1387. (download)
Harris TC, de Rooij R, Kuhl E. The shrinking brain: Cerebral atrophy following traumatic brain injury. Ann Biomed Eng. 2019; 47:1941-1959. (open access) (download)
Sahli Costabal F, Yao J, Sher A, Kuhl E. Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure response simulator. Prog Biophys Mol Bio. 2019; 144:61-76. (download)
Peirlinck M, Sahli Costabal F, Sack KL, Choy JS, Kassab GS, Guccione JM, De Beule M, Segers P, Kuhl E. Using machine learning to characterize heart failure across the scales. Biomech Model Mechanobio. 2019; 18:1987-2001. (download)
Sahli Costabal F, Choy JS, Sack KL, Guccione JM, Kassab G, Kuhl E. Multiscale characterization of heart failure. Acta Biomat. 2019; 86:66-76. (open access) (download)
Lejeune E, Dortdivanlioglu B, Kuhl E, Linder C. Understanding the mechanical link between oriented cell division and cerebellar morphogenesis. Soft Matter. 2019; 15:2204. (download)
Sahli Costabal F, Perdikaris P, Kuhl E, Hurtado D. Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models. Comp Meth Appl Mech Eng. 2019; 357:112602. (download)
Ostwald R, Kuhl E, Menzel A. On the implementation of finite deformation gradient-enhanced damage models. Comp Mech. 2019; 64:847-877. (download)
Bothe W, Escobar Kvitting JP, Rausch MK, Timek TA, Swanson JC, Liang DH, Walther M, Kuhl E, Ingels NB, Miller DC. Do annuloplasty rings designed to treat ischemic/functional mitral regurgitation alter left-ventricular dimensions in the acutely ischemic ovine heart? J Thor Cardivasc Surg. 2019; 158:1058-1068. (download)
Alawiye H, Kuhl E, Goriely A. Revisiting the wrinkling of elastic bilayers I: Linear analysis. Phil Trans A. 2019; 377:20180076. (download)
van Kelle MAJ, Rausch MK, Kuhl E, Loerakker S. A computational model to predict cell traction-mediated prestretch in the mitral valve. Comp Meth Biomech Biomed Eng. 2019; 22:1174-1185. (open access) (download)
Weickenmeier J, Kuhl E, Goriely A.
The multiphysics of prion-like diseases: progression and atrophy.
Phys Rev Lett. 2018; 121:158101.
(open access)
(download)
(physics focus)
(stanford report)
(nsf)
(scope)
(aimbe)
(futury)
(phys.org)
(newsweek)
(biospace)
(newsmax)
(my science)
(stevens)
(medindia)
(phys.org)
(gizmodo)
(recherche)
(n+1)
Holland MA, Budday S, Goriely A, Kuhl E. Symmetry breaking in wrinkling patterns: Gyri are universally thicker than sulci. Phys Rev Lett. 2018; 121:228002. (open access) (download)
Sahli Costabal F, Yao J, Kuhl E. Predicting the cardiac toxicity of drugs using a novel multiscale exposure-response simulator. Comp Meth Biomech Biomed Eng. 2018; 21:232-246. (download) (open access) (hyperion innovation excellence award) (hpc wire editors' choice award)
de Rooij R, Kuhl E. Physical biology of axonal damage. Front Cell Neurosci. 2018; 12:144. (download) (download) (open access)
Kuhl E. Mechanical cues in spinal cord injury. Biophys J. 2018; 115:751-753. (download)
Weickenmeier J, Kurt M, Ozkaya E, de Rooij R, Ovaert TC, Ehman RL, Butts Pauly K, Kuhl E. Brain stiffens post mortem. J Mech Beh Biomed Mat. 2018; 84:88-98. (download) (open access)
de Rooij R, Kuhl E. Microtubule polymerization and cross-link dynamics explain axonal stiffness and damage. Biophys J. 2018; 114:201-212. (download)
Sahli Costabal F, Yao J, Kuhl E. Predicting drug-induced arrhythmias by multiscale modeling. Int J Num Meth Biomed Eng. 2018; 34:e2964. (download)
Weickenmeier J, Kurt M, Ozkaya E, Wintermark M, Butts Pauly K, Kuhl E. Magnetic resonance elastography of the brain: A comparison between pigs and humans. J Mech Beh Biomed Mat. 2018; 77:702-710. (download)
Limbert G, Kuhl E. On skin microrelief and the emergence of expression microwrinkles Soft Matter. 2018; 14:1292-1300. (download)
de Rooij R, Kuhl E. A physical multifield model predicts the development of volume and structure in the human brain. J Mech Phys Solids. 2018; 112: 563-576. (download) (movie01) (movie02)
de Rooij R, Kuhl E, Miller, KE. Modeling the axon as an active partner with the growth cone in axonal elongation. Biophys J. 2018; 115:1783-1795. (download)
Lee T, Vaca EE, Ledwon JK, Bae H, Topczewska JM, Turin SY, Kuhl E, Gosain AK, Buganza Tepole A. Improving tissue expansion protocols through computational modeling. J Mech Beh Biomed Mat. 2018; 82:224-234. (download)
Oomen PA, Holland MA, Bouten CVC, Kuhl E, Loerakker S. Growth and remodeling play opposing roles during postnatal human heart valve development. Sci Rep. 2018; 8:1235. (download)
Purnell CA, Gart MS, Buganza Tepole A, Tomaszewski JP, Topczewska JM, Kuhl E, Gosain AK. Determining the differential effects of stretch and growth in tissue-expanded skin: Combining isogeometric analysis and continuum mechanics in a porcine model. Dermatol Surg. 2018; 44:48-52. (download)
Abilez OJ, Tzatzalos E, Yang H, Zhao MT, Jung G, Zollner AM, Tiburcy M, Riegler J, Matsa E, Shukla P, Zhuge Y, Chour T, Chen VC, Burridge PW, Karakides I, Kuhl E, Bernstein D, Couture LA, Gold JD, Zimmermann WH, Wu JC. Passive stretch induces structural and functional maturation of engineered heart muscle as predicted by computational modeling. Stem Cells. 2018; 36:265-277. (download)
Sahli Costabal F, Zaman JAB, Kuhl E, Narayan SM. Interpreting activation mapping of atrial fibrillation: a hybrid computational/physiological study. Ann Biomed Eng. 2018; 46:257-269. (download)
Budday S, Sommer G, Hayback J, Steinmann P, Holzapfel GA, Kuhl E. Rheological characterization of human brain tissue. Acta Biomat. 2017; 60:315-329. (download)
van den Bedem H, Kuhl E. Molecular mechanisms of chronic traumatic encephalopathy. Curr Opinion Biomed Eng. 2017;1:23-30. (download)
Weickenmeier J, de Rooij R, Budday S, Ovaert TC, Kuhl E. The mechanical importance of myelination in the central nervous system J Mech Beh Biomed Mat. 2017; 76:119-124. (download)
Weickenmeier J, Fischer C, Carter D, Kuhl E, Goriely A. Dimensional, geometrical, and physical constraints in skull growth. Phys Rev Lett. 2017; 118:248101. (download) (focus) (phys org)
Kuo C, Wu LC, Ye PP, Laksari K, Camarillo D, Kuhl E. Pilot findings of brain displacements and deformations during roller coaster rides. J Neurotrauma. 2017; 34:3198-3205. (download)
Budday S, Sommer G, Holzapfel GA, Steinmann P, Kuhl E. Viscoelastic parameter identification of human brain tissue. J Mech Beh Biomed Mat. 2017; 74:463-476. (download)
Weickenmeier J, Saez P, Butler CAM, Young PG, Goriely A, Kuhl E. Bulging brains. J Elast. 2017; 129:197–212. (download)
Mihai LA, Budday S, Holzapfel GA, Kuhl E, Goriely A. A family of hyperelastic models for human brain tissue. J Mech Phys Solids. 2017;106:60-79. (download)
Budday S, Sommer G, Birkl C, Langkammer C, Hayback J, Kohnert J, Bauer M, Paulsen F, Steinmann P, Kuhl E, Holzapfel GA. Mechanical characterization of human brain tissue. Acta Biomat. 2017;48:319-340. (download)
de Rooij R, Miller KE, Kuhl E. Modeling molecular mechanisms in the axon. Comp Mech. 2017;59:523-537. (download)
Weickenmeier J, Butler CAM, Young PG, Goriely A, Kuhl E. The mechanics of decompressive craniectomy: Personalized simulations. Comp Meth Appl Mech Eng. 2017;314:180-195. (download)
Sahli Costabal F, Concha FA, Hurtado DE, Kuhl E. The importance of mechano-electrical feedback and inertia in cardiac electromechanics. Comp Meth Appl Mech Eng. 2017;320:352-368. (download)
Buganza Tepole A, Vaca EE, Purnell CA, Gart M, McGrath J, Kuhl E, Gosain A. Quantification of strain in a porcine model of skin expansion using multi-view stereo and isogeometric kinematics. JoVE. 2017;122:e55052. (download) (movie) (jove)
Budday S, Andres S, Walter B, Steinmann P, Kuhl E. Wrinkling instabilities in soft bi-layered systems. Phil Trans R Soc A. 2017;375:20160163. (download)
Rausch MK, Zollner AM, Genet M, Baillargeon B, Bothe W, Kuhl E. A virtual sizing tool for mitral valve annuloplasty. Int J Num Meth Biomed Eng. 2017;33:e02788. (download)
Holland MA, Li B, Feng XQ, Kuhl E. Instabilities of soft films on compliant substrates. J Mech Phys Solids. 2017;98:350-365. (download)
Kuhl E. Biophysics: Unfolding the brain. Nature Physics. 2016;12:533-534. (download) (los angeles times) (chicago tribune) (international business times) (spektrum)
Goriely A, Weickenmeier J, Kuhl E. Stress singularities in swelling soft solids. Phys Rev Lett. 2016;117:138001. (download) (stanford report) (oxford science blog) (press oxford) (engadget) (physics buzz) (i4u) (phys org) (neurosciences news) (science blog) (physics world)
Weickenmeier J, Kuhl E, Goriely A. The mechanics of decompressive craniectomy: Bulging in idealized geometries. J Mech Phys Solids. 2016;96:572-590. (download)
Narayan SM, Baykaner T, Sahli Costabal F, Kuhl E. Terminating atrial fibrillation by cooling the heart. Heart Rhythm. 2016;13:2259-2260. (download)
Weickenmeier J, de Rooij R, Budday S, Steinmann P, Ovaert TC, Kuhl E. Brain stiffness increases with myelin content. Acta Biomat. 2016;42:265-272. (download)
Lejeune E, Javili A, Weickenmeier J, Kuhl E, Linder C. Tri-layer wrinkling as a mechanism for anchoring center initiation in the developing cerebellum. Soft Matter. 2016;12:5613-5620. (download)
Ploch CC, Mansi CSSA, Jayamohan J, Kuhl E. Using 3D printing to create personalized brain models for neurosurgical training and preoperative planning. World Neurosurg. 2016;90:668-674. (download), (perspectives)
Sack KL, Baillargeon B, Acevedo-Bolton G, Genet M, Rebelo N, Kuhl E, Klein L, Weiselthaler GM, Burkhoff D, Franz T, Guccione JM. Partial LVAD restores ventricular outputs and normalizes LV but not RV stress distributions in the acutely failing heart in silico. Int J Artificial Organs. 2016;39:421-430 (download) (open access)
Sahli Costabal F, Hurtado DE, Kuhl E. Generating Purkinje networks in the human heart. J Biomech. 2016;49:2455-2465. (download) (download code from github) (download code from simtk)
Eskandari M, Javili A, Kuhl E. Elastosis during airway wall remodeling explains multiple coexisting instability patterns. J Theor Bio. 2016;403:209-218. (download)
Buganza Tepole A, Gart M, Purnell CA, Gosain AK, Kuhl E. The incompatibility of living systems: Characterizing growth-induced incompatibilities in expanded skin. Ann Biomed Eng. 2016;44:1734-1752. (download)
de Rooij R, Kuhl E. Constitutive modeling of brain tissue: current perspectives. Appl Mech Rev. 2016;68:010801-1-010801-16. (download)
Saez P, Kuhl E. Computational modeling of acute myocardial infarction. Comp Meth Biomech Biomed Eng. 2016;19:1107-1115. (download)
Chabiniok R, Wang V, Hadjicharalambous M, Asner L, Lee J, Sermesant M, Kuhl E, Young A, Moireau P, Nash M, Chapelle D, Nordsletten DA. Multiphysics and multiscale modeling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics. Interface Focus. 2016;6:20150083. (download)
Genet M, Lee LC, Baillargeon B, Guccione JM, Kuhl E. Modeling pathologies of systolic and diastolic heart failure. Ann Biomed Eng. 2016;44:112-127. (download) (open access) (video)
Buganza Tepole A, Kuhl E. Computational modeling of chemo-bio-mechanical coupling: A systems-biology approach towards wound healing. Comp Meth Biomech Biomed Eng. 2016;19:13-30. (download)
van den Bedem H, Kuhl E. Tau-ism: the Yin and Yang of microtubule sliding, detachment, and rupture. Biophys J. 2015;109:2215-2217. (download)
Goriely A, Budday S, Kuhl E. Neuromechanics: from neurons to brain. Adv Appl Mech. 2015;48:79-139. (download)
Budday S, Steinmann P, Kuhl E. Secondary instabilities modulate cortical complexity in the mammalian brain. Phil Mag. 2015;95:3244-3256. (download)
Budday S, Kuhl E, Hutchinson JW. Period-doubling and period-tripling in growing bilayered systems. Phil Mag. 2015;95:3208-3224. (download)
Eskandari M, Kuhl E. Systems biology and mechanics of growth. WIREs Syst Biol Med. 2015;7:401-412. (download)
Budday S, Steinmann P, Goriely A, Kuhl E. Size and curvature regulate pattern selection in the mammalian brain. Extr Mech Lett. 2015;4:193-198. (download)
Buganza Tepole A, Gart M, Purnell CA, Gosain AK, Kuhl E. Multi-view stereo analysis reveals anisotropy of prestrain, deformation, and growth in living skin. Biomech Mod Mechanobio. 2015;14:1007-1019. (download)
Goriely A, Geers MGD, Holzapfel GA, Jayamohan J, Jerusalem A, Sivaloganathan S, Squier W, van Dommelen JAW, Waters S, Kuhl E. Mechanics of the brain: Perspectives, challenges, and opportunities. Biomech Mod Mechanobio. 2015;14:931-965. (download) (open access)
Eskandari M, Kuschner WG, Kuhl E. Patient-specific airway wall remodeling in chronic lung disease. Ann Biomed Eng. 2015;10:2538-2551. (download)
Javili A, Dortdivanlioglu B, Kuhl E, Linder C. Computational aspects of growth-induced instabilities. Comp Mech. 2015;56:405-420. (download)
Budday S, Steinmann P, Kuhl E. Physical biology of human brain development. Front Cell Neurosci. 2015;9:257. (download) (download) (open access)
Buganza Tepole A, Kabaria H, Bletzinger KU, Kuhl E. Isogeometric Kirchhoff-Love shell formulations for biological membranes. Comp Meth Appl Mech Eng. 2015;293:328-347. (download)
Baillargeon B, Costa I, Leach JR, Lee LC, Genet M, Toutain A, Wenk JF, Rausch MK, Rebelo N, Acevedo-Bolton G, Kuhl E, Navia JL, Guccione JM. Human cardiac function simulator for the optimal design of a novel annuloplasty ring with a sub-valvular element for correction of ischemic mitral regurgitation. Cardiovasc Eng Tech. 2015;6:105-116. (download) (video)
Genet M, Rausch MK, Lee LC, Choy S, Zhao X, Kassab GS, Kozerke S, Guccione JM, Kuhl E. Heterogeneous growth-induced prestrain in the heart. J Biomech. 2015;48:2080-2089. (download)
Holland MA, Miller KE, Kuhl E. Emerging brain morphologies from axonal elongation. Ann Biomed Eng. 2015;43:1640-1653. (download)
Wong J, Kuhl E, Darve E. A new sparse matrix vector multiplication GPU algorithm designed for finite element problems. Int J Num Meth Eng. 2015;102:1784-1814. (download)
Budday S, Nay R, de Rooij R, Steinmann P, Wyrobek T, Ovaert TC, Kuhl E. Mechanical properties of gray and white matter brain tissue by indentation. J Mech Behavior Biomed Mat. 2015;46:318-330. (download)
Raaz U, Zöllner AM, Schellinger IN, Toh R, Nakagami F, Brandt M, Emrich FC, Kayama Y, Eken S, Adam M, Maegdefessel L, Hertel T, Deng A, Jagger A, Buerke M, Dalman RL, Spin JM, Kuhl E, Tsao PS. Segmental aortic stiffening contributes to experimental abdominal aortic aneurysm development. Circulation. 2015;131:1783-1795. (download) (editorial)
Balbi V, Kuhl E, Ciarletta P. Morphoelastic control of gastro-intestinal organogenesis: theoretical predictions and numerical insights. J Mech Phys Solids. 2015;78:493-510. (download)
Wisdom KM, Delp SL, Kuhl E. Use it or lose it: Multiscale skeletal muscle adaptation to mechanical stimuli. Biomech Model Mechanobio. 2015;14:195-215. (download)
Lee LC, Genet M, Acevedo-Bolton G, Ordovas K, Guccione JM, Kuhl E. A computational model predicts reverse growth in response to mechanical unloading. Biomech Model Mechanobio. 2015;14:217-229. (download)
Zöllner AM, Pok JM, McWalter EJ, Gold GE, Kuhl E. On high heels and short muscles: A multiscale model for sarcomere loss in the gastrocnemius muscle. J Theor Bio. 2015;365:301–310. (download)
Checa S, Rausch MK, Petersen A, Kuhl E, Duda GN. The emergence of extracellular matrix mechanics and cell traction forces as important regulators of cellular self-organization. Biomech Mod Mechanobio. 2015;14:1-13. (download)
Ciarletta P, Balbi V, Kuhl E. Pattern selection in growing tubular tissues. Phys Rev Lett. 2014;113:248101. (download) (synopsis) (computing the gut)
Buganza Tepole A, Gart M, Gosain AK, Kuhl E. Characterization of living skin using multi view stereo and isogeometric analysis. Acta Biomat. 2014;10:4822-4831. (download)
Buganza Tepole A, Steinberg JP, Kuhl E, Gosain AK. Application of finite element modeling to optimize flap design with tissue expansion. Plast Reconstr Surgery. 2014;134:785-792. (download)
Budday S, Steinmann P, Kuhl E. The role of mechanics during brain development. J Mech Phys Solids. 2014;72:75-92. (download) (open access)
Göktepe S, Menzel A, Kuhl E. The generalized Hill model: A kinematic approach towards active muscle contraction. J Mech Phys Solids. 2014;72:20-39. (download)
Baillargeon B, Rebelo N, Fox DD, Taylor RL, Kuhl E. The Living Heart Project: A robust and integrative simulator for human heart function. Eur J Mech A/Solids. 2014;48:38-47. (download) (open access) (movie)
Vogel F, Göktepe S, Steinmann P, Kuhl E. Modeling and simulation of viscous electro-active polymers. Eur J Mech A/Solids. 2014;48:112-128. (download)
Buganza Tepole A, Gosain AK, Kuhl E. Computational modeling of skin: Using stress profiles as predictor for tissue necrosis in reconstructive surgery. Comp & Struct. 2014;143:32-39. (download)
Budday S, Raybaud C, Kuhl E. A mechanical model predicts morphological abnormalities in the developing human brain. Sci Rep. 2014;4:5644. (download) (open access)
Saez P, Pena E, Martinez MA, Kuhl E. Computational modeling of hypertensive growth in the human carotid artery. Comp Mech. 2014;53:1183-1196. (download)
Wong J, Kuhl E. Generating fiber orientation maps in human heart models using Poisson interpolation. Comp Meth Biomech Biomed Eng. 2014;17:1217-1226. (download)
Hurtado DE, Kuhl E. Computational modelling of electrocardiograms: Repolarisation and T-wave polarity in the human heart. Comp Meth Biomech Biomed Eng. 2014;17:986-996. (download)
Rausch MK, Kuhl E. On the mechanics of growing thin biological membranes. J Mech Phys Solids. 2014;63:128-140. (download)
Kuhl E. Growing matter - A review of growth in living systems. J Mech Behavior Biomed Mat. 2014;29:529-543. (download)
Javili A, Steinmann P, Kuhl E. A novel strategy to identify the critical conditions for growth-induced instabilities. J Mech Behavior Biomed Mat. 2014;29:20-32. (download)
Eskandari M, Pfaller MR, Kuhl E. On the role of mechanics in chronic lung disease. Materials. 2013;6:5639-5658. (download) (open access)
Zöllner AM, Holland MA, Honda KS, Gosain AK, Kuhl E. Growth on demand - Reviewing the mechanobiology of stretched skin. J Mech Behavior Biomed Mat. 2013;28:495-509. (download)
Saez P, Pena E, Martinez MA, Kuhl E. Mathematical modeling of collagen turnover in biological tissue. J Math Bio. 2013;67:1765-1793. (download)
Wong J, Göktepe S, Kuhl E. Computational modeling of chemo-electro-mechanical coupling: A novel implicit monolithic finite element approach. Int J Num Meth Biomed Eng. 2013;29:1104-1133. (download)
Rausch MK, Famaey N, O'Brien Shultz T, Bothe W, Miller DC, Kuhl E. Mechanics of the mitral valve: A critical review, an in vivo parameter identification, and the effect of prestrain. Biomech Mod Mechanobio. 2013;12:1053-1071. (download)
Rausch MK, Tibayan FA, Ingels NB, Miller DC, Kuhl E. Mechanics of the mitral annulus in chronic ischemic cardiomyopathy. Ann Biomed Eng. 2013;41:2171-2180. (download)
Rausch MK, Kuhl E. On the effect of prestrain and residual stress in thin biological membranes. J Mech Phys Solids. 2013;61:1955-1969. (download)
Holland MA, Kosmata T, Goriely A, Kuhl E. On the mechanics of thin films and growing surfaces. Math Mech Solids. 2013;18:561-575. (download)
Papastavrou A, Steinmann P, Kuhl E. On the mechanics of continua with boundary energies and growing surfaces. J Mech Phys Solids, 2013;61:1446-1463. (download)
Buganza Tepole A, Kuhl E. Review: Systems-based approaches towards wound healing. Pediatric Res, 2013;73:553–563. (download)
Chen MQ, Wong J, Kuhl E, Giovangrandi L, Kovacs GTA. Characterization of electrophysiological conduction in cardiomyocyte co-cultures using co-occurrence analysis. Comp Meth Biomech Biomed Eng, 2013;16:185-197. (download)
Famaey N, Vander Sloten J, Kuhl E. A three-constituent damage model for arterial clamping in computer-assisted surgery. Biomech Mod Mechanobio, 2013;12:123-136. (download)
Dal H, Göktepe S, Kaliske M, Kuhl E. A fully implicit finite element method for bidomain models of cardiac electromechanics. Comp Meth Appl Mech Eng, 2013;253:323-336. (download)
Rausch MK, Tibayan FA, Miller DC, Kuhl E. Evidence of adaptive mitral leaflet growth. J Mech Behavior Biomed Mat, 2012;15:208-217. (download)
Zöllner AM, Abilez OJ, Böl M, Kuhl E. Stretching skeletal muscle - Chronic muscle lengthening through sarcomerogenesis. PLoS ONE, 2012;7(10):e45661. (download) (open access)
Bothe W, Rausch MK, Kvitting JP, Echtner DK, Walther M, Ingels NB, Kuhl E, Miller DC. How do annuloplasty rings affect mitral annular strains in the normal beating ovine heart? Circulation, 2012;126:S231-S238. (download)
Buganza Tepole A, Gosain AK, Kuhl E. Stretching skin - The physiological limit and beyond. Int J Nonlin Mech, 2012;47:938-949. (download)
Zöllner AM, Buganza Tepole A, Gosain AK, Kuhl E. Growing skin - Tissue expansion in pediatric forehead reconstruction. Biomech Mod Mechanobio, 2012;11:855-867. (download)
Waffenschmidt T, Menzel A, Kuhl E. Anisotropic density growth of bone. A computational micro-sphere approach. Int J Solids Structures, 2012;49:1928-1946. (download)
Menzel A, Kuhl E. Frontiers in growth and remodeling. Mech Res Comm, 2012;42,1-14. (download)
Klepach D, Lee LC, Wenk JF, Ratcliffe MB, Zohdi TI, Navia JA, Kassab GS, Kuhl E, Guccione JM. Growth and remodeling of the left ventricle: A case study of myocardial infarction and surgical ventricular restoration. Mech Res Comm, 2012;42,134-141. (download)
Dal H, Göktepe S, Kaliske M, Kuhl E. A fully implicit finite element method for bidomain models of cardiac electrophysiology. Comp Meth Biomech Biomed Eng, 2012;15,645-656. (download)
Wong J, Abilez OJ, Kuhl E. Computational optogenetics - A novel continuum framework for the photoelectrochemistry of living systems. J Mech Phys Solids, 2012;60:1158-1178. (download)
Schmid H, Pauli L, Paulus A, Kuhl E, Itskov M. Consistent formulation of the growth process at the kinematic and constitutive level for soft tissues composed of multiple constituents. Comp Meth Biomech Biomed Eng, 2012;15:547-561. (download)
Tsamis A, Cheng A, Nguyen TC, Langer F, Miller DC, Kuhl E. Kinematics of cardiac growth - In vivo characterization of growth tensors and strains. J Mech Behavior Biomed Mat, 2012;8:165-177. (download)
Zöllner AM, Buganza Tepole A, Kuhl E. On the biomechanics and mechanobiology of growing skin. J Theor Bio, 2012;297:166-175. (download)
Rausch MK, Bothe W, Kvitting JP, Swanson JC, Miller DC, Kuhl E. Mitral valve annuloplasty - A quantitative clinical and mechanical comparison of different annuloplasty devices. Ann Biomed Eng, 2012;40:750-761. (download)
Pang H, Shiwalkar AP, Madormo CM, Taylor RE, Andriacchi TP, Kuhl E. Computational modeling of bone density profiles in response to gait: A subject-specific approach. Biomech Mod Mechanobio, 2012;11:379-390. (download)
Böl M, Abilez OJ, Assar AN, Zarins CK, Kuhl E. In vitro / in silico characterization of active and passive stresses in cardiac muscle. Int J Multiscale Comp Eng, 2012;10:171-188. (download)
Rausch MK, Dam A, Göktepe S, Abilez OJ, Kuhl E. Computational modeling of growth: Systemic and pulmonary hypertension in the heart. Biomech Mod Mechanobio, 2011;10:799-811. (download)
Buganza Tepole A, Ploch CJ, Wong J, Gosain AK, Kuhl E. Growing skin - A computational model for skin expansion in reconstructive surgery. J Mech Phys Solids, 2011;59:2177-2190. (download) (online)
Wong J, Göktepe S, Kuhl E. Computational modeling of electrochemical coupling: A novel finite element approach towards ionic models for cardiac electrophysiology. Comp Meth Appl Mech Eng, 2011;200:3139-3158. (download)
Abilez OJ, Wong J, Prakash R, Deisseroth K, Zarins CK, Kuhl E. Multiscale computational models for optogenetic control of cardiac function. Biophys J, 2011;101:1326-1334. (download) (open access) (report)
Bothe W, Kuhl E, Kvitting JP, Rausch MK, Göktepe S, Swanson JC, Farahmandnia S, Ingels NB, Miller DC. Rigid, complete annuloplasty rings increase anterior mitral leaflet strains in the normal beating ovine heart. Circulation, 2011;124:S81-S96. (download)
Wenk JF, Eslami P, Zhang Z, Xu C, Kuhl E, Gorman JH, Robb JD, Ratcliffe MB, Gorman RC, Guccione JM. A novel method for quantifying the in-vivo mechanical effect of material injected into a myocardial infarction. Ann Thorac Surg, 2011;92:935-941. (download)
Tsamis A, Bothe W, Kvitting JP, Swanson JC, Miller DC, Kuhl E. Active contraction of cardiac muscle: In vivo characterization of mechanical activation sequences in the beating heart. J Mech Behavior Biomed Mat, 2011;4:1167-1176. (download)
Rausch MK, Bothe W, Kvitting JP, Swanson JC, Ingels NB, Miller DC, Kuhl E. Characterization of mitral valve annular dynamics in the beating heart. Ann Biomed Eng, 2011;39:1690-1702. (download)
Rausch MK, Bothe W, Kvitting JP, Göktepe S, Miller DC, Kuhl E. In vivo dynamic strains of the ovine anterior mitral valve leaflet. J Biomechanics, 2011;44:1149-1157. (download)
Ambrosi D, Ateshian GA, Arruda EM, Cowin SC, Dumais J, Goriely A, Holzapfel GA, Humphrey JD, Kemkemer R, Kuhl E, Olberding JE, Taber LA, Garikipati K. Perspectives on biological growth and remodeling. J Mech Phys Solids, 2011;59:863-883. (download)
Göktepe S, Acharya SNS, Wong J, Kuhl E. Computational modeling of passive myocardium. Int J Num Meth Biomed Eng, 2011;27:1-12. (download)
Kvitting JP, Bothe W, Göktepe S, Rausch MK, Swanson JC, Kuhl E, Ingels NB, Miller DC. Anterior mitral leaflet curvature during the cardiac cycle in the normal ovine heart. Circulation, 2010;122:1683-1689. (download)
Göktepe S, Abilez OJ, Kuhl E. A generic approach towards finite growth with examples of athlete's heart, cardiac dilation, and cardiac wall thickening. J Mech Phys Solids, 2010;58:1661-1680. (download)
Göktepe S, Abilez OJ, Parker KK, Kuhl E. A multiscale model for eccentric and concentric cardiac growth through sarcomerogenesis. J Theor Bio, 2010;265:433-442. (download)
Rajagopal A, Fischer P, Kuhl E, Steinmann P. Natural element analysis of the Cahn-Hilliard phase-field model. Comp Mech, 2010;46:471-493. (download)
Göktepe S, Bothe W, Kvitting JP, Swanson J, Ingels NB, Miller DC, Kuhl E. Anterior mitral leaflet curvature in the beating ovine heart. A case study using videofluoroscopic markers and subdivision surfaces. Biomech Mod Mechanobio, 2010;9:281-293. (download)
Kotikanyadanam M, Göktepe S, Kuhl E. Computational modeling of electrocardiograms - A finite element approach towards cardiac excitation. Int J Num Meth Biomed Eng, 2010;26:524-533. (download)
Gitman I, Askes H, Kuhl E, Aifantis EC. Stress concentrations in fractured compact bone simulated with a special class of anisotropic gradient elasticity. Int J Solids Structures, 2010;47:1099-1107. (download)
Göktepe S, Wong J, Kuhl E. Atrial and ventricular fibrillation - Computational simulation of spiral waves in cardiac tissue. Arch Appl Mech, 2010;80:569-580. (download)
Zhang J, Michalenko MM, Kuhl E, Ovaert TC. Characterization of indentation response and stiffness reduction of bone using a continuum damage model. J Mech Behavior Biomed Mat, 2010;3:189-202. (download)
Göktepe S, Kuhl E. Electromechanics of the heart - A unified approach to the strongly coupled excitation-contraction problem. Comp Mech, 2010;45:227-243. (download)
Krishnamurthy G, Itoh A, Swanson J, Bothe W, Karlsson M, Kuhl E, Miller DC, Ingels NB. Regional stiffening of the mitral valve anterior leaflet in the beating heart. J Biomechanics, 2009;42:2697-2701. (download)
Jager P, Steinmann S, Kuhl E. Towards the treatment of boundary conditions for global crack path tracking in three-dimensional brittle fracture. Comp Mech. 2009;45:91-107. (download)
Krishnamurthy G, Itoh A, Bothe W, Swanson J, Kuhl E, Karlsson M, Miller DC, Ingels NB. Stress-strain behavior of mitral valve leaflets in the beating ovine heart. J Biomechanics. 2009;42:1909-1916. (download)
Itoh A, Krishnamurthy G, Swanson J, Ennis D, Bothe W, Kuhl E, Karlsson M, Davis L, Miller DC, Ingels NB. Active stiffening of mitral valve leaflets in the beating heart. Am J Physiol Heart Circ Physiol. 2009;296:H1766-H1773. (download)
Göktepe S, Kuhl E. Computational modeling of electrophysiology: A novel finite element approach. Int J Num Meth Eng. 2009; 79:156-178. (download)
Böl M, Reese S, Parker KK, Kuhl E. Computational modeling of muscular thin films for cardiac repair. Comp Mech. 2009;43:535-544. (download)
Taylor RE, Zheng C, Jackson PR, Doll JC, Chen JC, Holzbaur KRS, Besier T, Kuhl E. The phenomenon of twisted growth: Humeral torsion in dominant arms of high performance tennis players. Comp Meth Biomech Biomed Eng. 2009;12:83-93. (download)
Krishnamurthy G, Ennis DB, Itoh A, Bothe W, Swanson-Birchill JC, Karlsson M, Kuhl E, Miller DC, Ingels NB. Material properties of the ovine mitral valve anterior leaflet in vivo from inverse finite element analysis. Am J Physiol Heart Circ Physiol. 2008;295:H1141-H1149. (download)
Jha CM, Salvia J, Chandorkar SA, Melamud R, Kuhl E, Kenny TW. Acceleration insensitive encapsulated silicon microresonator. Appl Phys Let. 2008;93:234103.1-234103.3. (download)
Jager P, Schmalholz SM, Schmid DW, Kuhl E. Brittle fracture during folding rocks - A finite element study. Phil Mag. 2008;88:3245-3263. (download)
Meier HA, Schlemmer M, Wagner C, Kerren A, Hagen H, Kuhl E, Steinmann P. Visualization of particle interactions in granular media. IEEE Trans Vis Comp Graphics. 2008;14:1-16. (download)
Jager P, Steinmann P, Kuhl E. Modeling three-dimensional crack propagation - A comparison of crack path tracking strategies. Int J Num Meth Eng, 2008;76:1328-1352. (download)
Himpel G, Menzel A, Kuhl E, Steinmann P. Time-dependent fiber reorientation of transversely isotropic continua - Finite element formulation and consistent linearization. Int J Num Meth Eng. 2008;73:1413-1433. (download)
Jager P, Steinmann P, Kuhl E. On local tracking algorithms for the simulation of three-dimensional discontinuities. Comp Mech, 2008;42:395-406. (download)
Meier HA, Steinmann P, Kuhl E. Towards mulitscale computation of confined granular media - Contact forces, stresses and tangent operators. Techn Mech. 2008;28:32-42. (download)
Utzinger J, Bos M, Floeck M, Menzel A, Kuhl E, Renz R, Friedrich K, Schlarb AK, Steinmann P. Computational modelling of thermal impact welded PEEK/steel single lap tensile specimens. Comp Mat Sci. 2008;41:287-296. (download)
Meier HA, Kuhl E, Steinmann P. A note on the generation of periodic granular microstructures based on grain size distributions. Int J Num Anal Meth Geomech. 2008;32:509-522. (download)
Kuhl E, Holzapfel GA. A continuum model for remodeling in living structures. J Mat Sci. 2007;42:8811-8823. (download)
Hauret P, Kuhl E, Ortiz M. Diamond elements: A finite-element / discrete-mechanics approximation scheme with guaranteed optimal convergence in incompressible elasticity. Int J Num Meth Eng. 2007;72:253-294. (download)
Kuhl E, Maas R, Himpel G, Menzel A. Computational modeling of arterial wall growth: Attempts towards patient specific simulations based on computer tomography. Biomech Mod Mechanobio. 2007;6:321-331. (download)
Hirschberger CB, Kuhl E, Steinmann P. On deformational and configurational mechanics of micromorphic hyperelasticity - Theory and computation. Comp Meth Appl Mech Eng. 2007;196:4027-4044. (download)
Kuhl E, Schmid DW. Computational modeling of mineral unmixing and growth - An application of the Cahn-Hilliard equation. Comp Mech. 2007;39:439-451. (download)
Mergheim J, Kuhl E, Steinmann P. Towards the algorithmic treatment of 3D strong discontinuities. Comm Num Meth Eng. 2007;23:97-108. (download)
Wells G, Kuhl E, Garikipati K. A discontinuous Galerkin formulation for the Cahn-Hilliard equation. J Comp Phys. 2006;218:860-877. (download)
Kuhl E, Menzel A, Garikipati K. On the convexity of transversely isotropic chain network models. Phil Mag. 2006;86:3241-3258. (download)
Kuhl E, Askes H, Steinmann P. An illustration of the equivalence of the loss of ellipticity conditions in spatial and material settings of hyperelasticity. Eur J Mech/A: Solids. 2006;25:199-214. (download)
Kuhl E, Garikipati K, Arruda EM, Grosh K. Remodeling of biological tissue - Mechanically induced reorientation of a transversely isotropic chain network. J Mech Phys Solids. 2005;53:1552-1573. (download)
Kuhl E, Balle F. Computational modeling of hip replacement surgery - Total hip replacement vs. hip resurfacing. Techn Mech. 2005;25:107-114. (download)
Himpel G, Kuhl E, Menzel A, Steinmann P. Computational modelling of isotropic multiplicative growth. CMES Comp Model Eng Sci. 2005;8:119-134. (download)
Mergheim J, Kuhl E, Steinmann P. A finite element method for the computational modelling of cohesive cracks. Int J Num Meth Eng. 2005;63:276-289. (download)
Kuhl E, Steinmann P. A hyperelastodynamic ALE formulation based on referential, spatial and material forces. Acta Mech. 2005;174:201-222. (download)
Askes H, Bargmann S, Kuhl E, Steinmann P. Structural optimisation by simultaneous equilibration of spatial and material forces. Comm Num Meth Eng. 2005:21;433-442. (download)
Kuhl E, Steinmann P. Computational modeling of healing - An application of the material force method. Biomech Mod Mechanobio. 2004;2:187-203. (download)
Kuhl E, Askes H, Steinmann P. An ALE formulation based on spatial and material settings of continuum mechanics, Part 1: Generic hyperelastic formulation. Comp Meth Appl Mech Eng. 2004;193:4207-4222. (download)
Askes H, Kuhl E, Steinmann P. An ALE formulation based on spatial and material settings of continuum mechanics, Part 2: Classification and applications. Comp Meth Appl Mech Eng. 2004;193:4223-4245. (download)
Kuhl E, Denzer R, Barth FJ, Steinmann P. Application of the material force method to thermo-hyperelasticity. Comp Meth Appl Mech Eng. 2004;193:3303-3326. (download)
Mergheim J, Kuhl E, Steinmann P. A hybrid discontinuous Galerkin/interface method for the computational modelling of failure. Comm Num Meth Eng. 2004;20:511-519. (download)
Kuhl E, Steinmann P. Material forces in open system mechanics. Comp Meth Appl Mech Eng. 2004;193:2357-2381. (download)
Kuhl E, Menzel A, Steinmann P. Computational modeling of growth - A critical review, a classification of concepts and two new consistent approaches. Comp Mech. 2003;32:71-88. (download)
Kuhl E, P Steinmann P. Theory and numerics of geometrically nonlinear open systems Int J Num Meth Eng. 2003;58:1593-1615. (download)
Kuhl E, Steinmann P. On spatial and material settings of thermo-hyperelastodynamics for open systems. Acta Mech. 2003;160:179-217. (download)
Kuhl E, Steinmann P. Mass- and volume specific views on thermodynamics for open systems. Proc Roy Soc. 2003;459:2547-2568. (download)
Kuhl E, Hulshoff S, de Borst R. An arbitrary Lagrangian Eulerian finite-element approach for fluid-structure interaction phenomena. Int J Num Meth Eng. 2003;57:117-142. (download)
Kuhl E, Carol I, Steinmann P. New thermodynamic approach to microplane model. Part II: Dissipation and inelastic constitutive modelling. Int J Solids Structures. 2001;38:2933-2952. (download)
Kuhl E, Ramm E, Willam KJ. Failure analysis for elasto-plastic material models on different levels of observation. Int J Solids Structures. 2000;37:7259-7280. (download)
Kuhl E, Ramm E, de Borst R. An anisotropic gradient damage model for quasi-brittle materials. Comp Meth Appl Mech Eng. 2000;183:87-103. (download)
Kuhl E, Ramm E. Microplane modelling of cohesive frictional materials. Eur J Mech/A:Solids; 2000;19:S121-S143. (download)
Kuhl E, D'Addetta GA, Herrmann HJ, Ramm E. A comparison of discrete granular material models with continuous microplane formulations. Granular Matter. 2000;2:123-135. (download)
Kuhl E, Ramm E. Simulation of strain localization with gradient enhanced damage models. Comp Mat Sci. 1999;16:176-185. (download)
Mahnken R, Kuhl E. Parameter identification of gradient enhanced damage models with the finite element method. Eur J Mech/A: Solids. 1999;18:819-835. (download)
Kuhl E, Ramm E. On the linearization of the microplane model. Mech Coh Fric Mat. 1998;2:343-364. (download)
Steinmann P, Kuhl E, Stein E. Aspects of non-associated single crystal plasticity: Influence of Non-Schmid effects and localization analysis. Int J Solids Structures. 1998;35:4437-4456. (download)
Sawischlewski E, Steinmann P, Stein E. Modelling and computations of instability phenomena in multisurface plasticity. Comp Mech. 1996;18:245-258. (download)
Kuhl E. Theory and numerics of open system thermodynamics - Spatial and material settings. TU Kaiserslautern. 2004. (download)
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professor harm askes (university of sheffiled, uk), professor paul steinmann (university of erlangen-nuremberg, germany), professor dani schmid (university of oslo, norway), professor swantje bargmann (tu hamburg harburg, germany), professor bert sluys (tu delft, the netherlands), m sc alberto bordallo (tu delft, the netherlands), professor julia mergheim (university of erlangen-nuremberg, germany), dr ing rouven mohr (tu kaiserslautern, germany), dr ing holger meier (tu kaiserslautern, germany), professor angelo simone (tu delft, the netherlands), dr terry bennett (university of sheffield, uk), dr ir martijn stroeven (tu delft, the netherlands), dr ing grieta himpel (tu kaiserslautern, germany), professor andreas menzel (tu dortmund, germany), professor sigrid leyendecker (university of erlangen-nuremberg, usa), professor akke suiker (tu eindhoven, the netherlands), dr ing philippe jaeger (tu kaiserslautern, germany)