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"

7 / 7 papers shown

Title
A Deep Learning Framework for Solving Hyperbolic Partial Differential Equations: Part I Rajat Arora PINN AI4CE 22 1 0 09 Jul 2023
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content Betim Bahtiri B. Arash Sven Scheffler Maximilian Jux R. Rolfes 23 10 0 14 May 2023
Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning Rajat Arora Ankit Shrivastava AI4CE 28 4 0 08 Dec 2022
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics Rajat Arora AI4CE 18 10 0 30 Jun 2022
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method Shahed Rezaei Ali Harandi Ahmad Moeineddin Bai-Xiang Xu Stefanie Reese 19 112 0 27 Jun 2022
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity Rajat Arora P. Kakkar Biswadip Dey Amit Chakraborty PINN AI4CE 36 19 0 20 Jan 2022
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 182 140 0 01 May 2020