Learning solution of nonlinear constitutive material models using
physics-informed neural networks: COMM-PINN

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Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN

10 April 2023

Ahmad Moeineddin

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Papers citing "Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN"

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Title
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing Salah A. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 71 52 0 14 Nov 2022
Spiking neural networks for nonlinear regression Alexander Henkes Jason K. Eshraghian Henning Wessels 84 29 0 06 Oct 2022
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method Shahed Rezaei Ali Harandi Ahmad Moeineddin Bai-Xiang Xu Stefanie Reese 70 118 0 27 Jun 2022
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials Xiaolong He Jiun-Shyan Chen AI4CE 110 51 0 01 May 2022
Constitutive model characterization and discovery using physics-informed deep learning E. Haghighat S. Abouali R. Vaziri PINN AI4CE 90 51 0 18 Mar 2022
Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training E. Haghighat Daniel Amini R. Juanes PINN AI4CE 107 100 0 06 Oct 2021
Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence J. Mianroodi Shahed Rezaei N. Siboni Bai-Xiang Xu Dierk Raabe AI4CE 51 32 0 05 Aug 2021
Polyconvex anisotropic hyperelasticity with neural networks Dominik K. Klein Mauricio Fernández Robert J. Martin P. Neff Oliver Weeger 79 155 0 20 Jun 2021
The mixed deep energy method for resolving concentration features in finite strain hyperelasticity J. Fuhg N. Bouklas PINN AI4CE 75 94 0 15 Apr 2021
Thermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics Jiaxin Zhang Congjie Wei Chenglin Wu AI4CE PINN 24 7 0 28 Nov 2020
When and why PINNs fail to train: A neural tangent kernel perspective Sizhuang He Xinling Yu P. Perdikaris 141 923 0 28 Jul 2020
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications E. Samaniego C. Anitescu S. Goswami Vien Minh Nguyen-Thanh Hongwei Guo Khader M. Hamdia Timon Rabczuk X. Zhuang PINN AI4CE 229 1,389 0 27 Aug 2019
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 250 16,405 0 30 Apr 2014