Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review

14 March 2023

Papers citing "Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review"

7 / 7 papers shown

Title
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs Hrishikesh Viswanath Yue Chang Julius Berner Peter Yichen Chen Aniket Bera AI4CE 63 2 0 04 Jul 2024
Large Language Model Agent as a Mechanical Designer Yayati Jadhav A. Farimani AI4CE LLMAG 98 9 0 26 Apr 2024
Mechanical Characterization and Inverse Design of Stochastic Architected Metamaterials Using Neural Operators Hanxun Jin Enrui Zhang Boyu Zhang Sridhar Krishnaswamy George Karniadakis Horacio D. Espinosa AI4CE 29 4 0 23 Nov 2023
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries Zong-Yi Li Daniel Zhengyu Huang Burigede Liu Anima Anandkumar AI4CE 116 249 0 11 Jul 2022
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 205 2,282 0 18 Oct 2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Zhenguo Nie Tong Lin Haoliang Jiang L. Kara AI4CE 100 168 0 05 Mar 2020
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,447 0 21 Nov 2016