Challenges and opportunities for machine learning in multiscale computational modeling

22 March 2023

Papers citing "Challenges and opportunities for machine learning in multiscale computational modeling"

4 / 4 papers shown

Title
Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties Binh Duong Nguyen Pavlo Potapenko Aytekin Dermici Kishan Govind Sébastien Bompas Stefan Sandfeld AI4CE 8 8 0 01 Sep 2023
Stress field prediction in fiber-reinforced composite materials using a deep learning approach Anindya Bhaduri Ashwini Gupta L. Graham‐Brady AI4CE 14 114 0 01 Nov 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 50 58 0 15 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,272 0 18 Oct 2020