Physics-informed neural network for modeling dynamic linear elasticity

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Physics-informed neural network for modeling dynamic linear elasticity

23 December 2023

Venkatesh Gopinath

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Papers citing "Physics-informed neural network for modeling dynamic linear elasticity"

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Title
An Expert's Guide to Training Physics-informed Neural Networks Sizhuang He Shyam Sankaran Hanwen Wang P. Perdikaris PINN 96 108 0 16 Aug 2023
Learning two-phase microstructure evolution using neural operators and autoencoder architectures Vivek Oommen K. Shukla S. Goswami Rémi Dingreville George Karniadakis AI4CE 102 124 0 11 Apr 2022
Constitutive model characterization and discovery using physics-informed deep learning E. Haghighat S. Abouali R. Vaziri PINN AI4CE 71 51 0 18 Mar 2022
Physics-informed neural networks for inverse problems in supersonic flows Ameya Dilip Jagtap Zhiping Mao Nikolaus Adams George Karniadakis PINN 43 221 0 23 Feb 2022
Physics informed neural networks for continuum micromechanics Alexander Henkes Henning Wessels R. Mahnken PINN AI4CE 60 145 0 14 Oct 2021
Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging Enrui Zhang Minglang Yin George Karniadakis 70 66 0 02 Sep 2020
Understanding and mitigating gradient pathologies in physics-informed neural networks Sizhuang He Yujun Teng P. Perdikaris AI4CE PINN 103 297 0 13 Jan 2020
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 87 2,128 0 27 May 2019
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016