Finite Element Method-enhanced Neural Network for Forward and Inverse Problems

17 May 2022

Papers citing "Finite Element Method-enhanced Neural Network for Forward and Inverse Problems"

6 / 6 papers shown

Title
A discrete physics-informed training for projection-based reduced order models with neural networks N. Sibuet S. A. D. Parga J. R. Bravo R. Rossi 27 0 0 31 Mar 2025
Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems M. Chenaud Frédéric Magoulès José Alves AI4CE PINN 26 1 0 25 Sep 2024
Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics A.O.M. Kilicsoy J. Liedmann M. Valdebenito F. Barthold M. G. R. Faes 27 0 0 23 Jul 2024
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains Yusuke Yamazaki Ali Harandi Mayu Muramatsu A. Viardin Markus Apel T. Brepols Stefanie Reese Shahed Rezaei AI4CE 26 12 0 21 May 2024
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 18 9 0 08 Oct 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 35 0 0 27 Sep 2023