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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
Rajat Arora
P. Kakkar
Biswadip Dey
Amit Chakraborty
    PINN
    AI4CE
ArXivPDFHTML

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

3 / 3 papers shown
Title
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
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
21
47
0
14 Nov 2022
PhySRNet: Physics informed super-resolution network for application in
  computational solid mechanics
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics
Rajat Arora
AI4CE
18
10
0
30 Jun 2022
Machine Learning-Accelerated Computational Solid Mechanics: Application
  to Linear Elasticity
Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity
Rajat Arora
AI4CE
11
7
0
16 Dec 2021
1