Predicting the mechanical properties of biopolymer gels using neural networks trained on discrete fiber network data
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Publication:2246386
DOI10.1016/j.cma.2021.114160OpenAlexW3194035015MaRDI QIDQ2246386
Vahidullah Tac, Yue Leng, Adrian B. Tepole, Sarah Calve
Publication date: 16 November 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2101.11712
machine learningmultiscale modelingfibrinconstitutive modelingnonlinear finite elementsabaqus user subroutine UMAT
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