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Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity
16 December 2021
Rajat Arora
AI4CE
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Papers citing
"Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity"
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Title
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
Rajat Arora
P. Kakkar
Biswadip Dey
Amit Chakraborty
PINN
AI4CE
86
20
0
20 Jan 2022
Physics informed deep learning for computational elastodynamics without labeled data
Chengping Rao
Hao Sun
Yang Liu
PINN
AI4CE
59
225
0
10 Jun 2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
C. Jiang
S. Esmaeilzadeh
Kamyar Azizzadenesheli
K. Kashinath
Mustafa A. Mustafa
H. Tchelepi
P. Marcus
P. Prabhat
Anima Anandkumar
AI4CE
233
141
0
01 May 2020
Turbulence Enrichment using Physics-informed Generative Adversarial Networks
Akshay Subramaniam
Man Long Wong
Raunak Borker
S. Nimmagadda
S. Lele
GAN
AI4CE
82
38
0
04 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
511
42,449
0
03 Dec 2019
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows
Mathis Bode
M. Gauding
Zeyu Lian
D. Denker
M. Davidovic
K. Kleinheinz
J. Jitsev
H. Pitsch
AI4CE
57
21
0
26 Nov 2019
Residual Dense Network for Image Super-Resolution
Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Y. Fu
SupR
138
3,320
0
24 Feb 2018
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
77
924
0
28 Nov 2017
Accelerating the Super-Resolution Convolutional Neural Network
Chao Dong
Chen Change Loy
Xiaoou Tang
SupR
127
2,983
0
01 Aug 2016
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
1