Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity

16 December 2021

Papers citing "Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity"

10 / 10 papers shown

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 231 141 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