Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity

8 January 2020

Papers citing "Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity"

20 / 20 papers shown

Title
Large Language Model Agent as a Mechanical Designer Yayati Jadhav A. Farimani AI4CE LLMAG 101 9 0 26 Apr 2024
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses S. Jafarzadeh Stewart Silling Ning Liu Zhongqiang Zhang Yue Yu AI4CE 36 16 0 11 Jan 2024
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength Tongya Zheng Tianli Zhang Qingzheng Guan Wenjie Huang Zunlei Feng Min-Gyoo Song Chun-Yen Chen AI4CE 33 1 0 26 Jul 2023
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics S. Mohammadzadeh Peerasait Prachaseree Emma Lejeune AI4CE 34 2 0 01 Dec 2022
Cooperative data-driven modeling Aleksandr Dekhovich O. T. Turan Jiaxiang Yi Miguel A. Bessa CLL KELM AI4CE 21 5 0 23 Nov 2022
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations Saurabh Deshpande Stéphane P. A. Bordas J. Lengiewicz AI4CE GNN 89 28 0 01 Nov 2022
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity Nikolaos N. Vlassis WaiChing Sun AI4CE 37 32 0 30 Jul 2022
NN-EUCLID: deep-learning hyperelasticity without stress data Prakash Thakolkaran Akshay Joshi Yiwen Zheng Moritz Flaschel L. Lorenzis Siddhant Kumar 36 98 0 04 May 2022
Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks Tianju Xue S. Adriaenssens S. Mao AI4CE 17 26 0 24 Feb 2022
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks Peerasait Prachaseree Emma Lejeune PINN AI4CE 33 11 0 03 Feb 2022
PH-Net: Parallelepiped Microstructure Homogenization via 3D Convolutional Neural Networks Hao Peng An-Qing Liu Jingcheng Huang Lingxin Cao Jikai Liu Lin Lu AI4CE 20 20 0 18 Jan 2022
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Rafael Bischof M. Kraus PINN AI4CE 35 93 0 19 Oct 2021
Data-driven Tissue Mechanics with Polyconvex Neural Ordinary Differential Equations Vahidullah Tac F. Sahli Costabal A. B. Tepole AI4CE 44 70 0 03 Oct 2021
Polyconvex anisotropic hyperelasticity with neural networks Dominik K. Klein Mauricio Fernández Robert J. Martin P. Neff Oliver Weeger 41 151 0 20 Jun 2021
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation Xiao Sun B. Bahmani Nikolaos N. Vlassis WaiChing Sun Yanxun Xu CML AI4CE 70 26 0 20 May 2021
Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks J. Fuhg M. Marino N. Bouklas 38 59 0 07 May 2021
A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning R. Sepasdar Anuj Karpatne Maryam Shakiba AI4CE 29 60 0 09 Apr 2021
Predicting the Mechanical Properties of Biopolymer Gels Using Neural Networks Trained on Discrete Fiber Network Data Yue Leng Vahidullah Tac S. Calve A. B. Tepole 28 32 0 23 Jan 2021
Sobolev training of thermodynamic-informed neural networks for smoothed elasto-plasticity models with level set hardening Nikolaos N. Vlassis WaiChing Sun AI4CE 19 2 0 15 Oct 2020
Physics informed deep learning for computational elastodynamics without labeled data Chengping Rao Hao Sun Yang Liu PINN AI4CE 24 222 0 10 Jun 2020