NN-EUCLID: Deep-learning hyperelasticity without stress data
Author:
Funder
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics
Reference62 articles.
1. Input convex neural networks;Amos,2017
2. A three-dimensional constitutive model for the large stretch behavior of rubber elastic materials;Arruda;J. Mech. Phys. Solids,1993
3. A mechanics-informed artificial neural network approach in data-driven constitutive modeling;As’ad;Internat. J. Numer. Methods Engrg.,2022
4. Convexity conditions and existence theorems in nonlinear elasticity;Ball;Arch. Ration. Mech. Anal.,1976
5. Inverting the structure–property map of truss metamaterials by deep learning;Bastek;Proc. Natl. Acad. Sci.,2022
Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Recovering Mullins damage hyperelastic behaviour with physics augmented neural networks;Journal of the Mechanics and Physics of Solids;2024-12
2. Data-driven methods for computational mechanics: A fair comparison between neural networks based and model-free approaches;Computer Methods in Applied Mechanics and Engineering;2024-11
3. Versatile data-adaptive hyperelastic energy functions for soft materials;Computer Methods in Applied Mechanics and Engineering;2024-10
4. Experimental Learning of a Hyperelastic Behavior with a Physics-Augmented Neural Network;Experimental Mechanics;2024-09-09
5. Data-driven continuum damage mechanics with built-in physics;Extreme Mechanics Letters;2024-09
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3