Physics-Informed Neural Networks for Shell Structures

26 July 2022

Papers citing "Physics-Informed Neural Networks for Shell Structures"

7 / 7 papers shown

Title
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble Zongren Zou Zhicheng Wang George Karniadakis PINN AI4CE 73 2 0 08 Mar 2025
Identifying Constitutive Parameters for Complex Hyperelastic Materials using Physics-Informed Neural Networks Siyuan Song Hanxun Jin AI4CE PINN 25 6 0 29 Aug 2023
NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory Navami Kairanda Marc Habermann Christian Theobalt Vladislav Golyanik AI4CE 37 2 0 24 Aug 2023
Solving PDEs on Spheres with Physics-Informed Convolutional Neural Networks Guanhang Lei Zhen Lei Lei Shi Chenyu Zeng Ding-Xuan Zhou 38 4 0 18 Aug 2023
A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data Elham Kiyani K. Shukla George Karniadakis M. Karttunen 28 21 0 18 May 2023
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review Hanxun Jin Enrui Zhang H. Espinosa AI4CE 28 68 0 14 Mar 2023
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing Salah A. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 32 49 0 14 Nov 2022