Physics-informed neural networks for modeling rate- and
temperature-dependent plasticity

Physics-informed neural networks for modeling rate- and temperature-dependent plasticity

20 January 2022

Amit Chakraborty

Papers citing "Physics-informed neural networks for modeling rate- and temperature-dependent plasticity"

11 / 11 papers shown

Title
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation Yuta Yahagi Kiichi Obuchi Fumihiko Kosaka Kota Matsui 26 0 0 20 Mar 2025
A Deep Learning Framework for Solving Hyperbolic Partial Differential Equations: Part I Rajat Arora PINN AI4CE 27 1 0 09 Jul 2023
GPINN: Physics-informed Neural Network with Graph Embedding Yu Miao Haolin Li PINN 18 3 0 16 Jun 2023
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content Betim Bahtiri B. Arash Sven Scheffler Maximilian Jux R. Rolfes 28 10 0 14 May 2023
Physics-aware deep learning framework for linear elasticity Anisha Roy Rikhi Bose AI4CE 38 8 0 19 Feb 2023
Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning Rajat Arora Ankit Shrivastava AI4CE 36 4 0 08 Dec 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 35 89 0 15 Nov 2022
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 27 49 0 14 Nov 2022
Reduced-PINN: An Integration-Based Physics-Informed Neural Networks for Stiff ODEs P. Nasiri R. Dargazany PINN 19 1 0 23 Aug 2022
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics Rajat Arora AI4CE 27 10 0 30 Jun 2022
Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity Rajat Arora AI4CE 19 7 0 16 Dec 2021