Physics-informed neural networks for solving forward and inverse
problems in complex beam systems

Physics-informed neural networks for solving forward and inverse problems in complex beam systems

2 March 2023

Papers citing "Physics-informed neural networks for solving forward and inverse problems in complex beam systems"

15 / 15 papers shown

Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung B. Peters Michael Solomon 24 0 0 10 May 2025
Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks D. Veerababu Prasanta K. Ghosh 68 0 0 26 Mar 2025
MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Jing Xiao Xinhai Chen Qingling Wang Jie Liu AI4CE 34 0 0 21 Jan 2025
Advancing Generalization in PINNs through Latent-Space Representations Honghui Wang Yifan Pu Shiji Song Gao Huang AI4CE PINN 64 0 0 28 Nov 2024
Physics-Informed Neural Network Based Digital Image Correlation Method Boda Li Shichao Zhou Qinwei Ma Shaopeng Ma 21 1 0 02 Sep 2024
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems Henrik Krauss Tim-Lukas Habich Max Bartholdt Thomas Seel Moritz Schappler PINN AI4CE 38 2 0 27 Aug 2024
DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams M. Eshaghi M. Bamdad C. Anitescu Yizheng Wang X. Zhuang Timon Rabczuk AI4CE 19 5 0 04 Aug 2024
Magnetic Hysteresis Modeling with Neural Operators Abhishek Chandra B. Daniels M. Curti K. Tiels E. Lomonova AI4CE 43 2 0 03 Jul 2024
Solving partial differential equations with sampled neural networks Chinmay Datar Taniya Kapoor Abhishek Chandra Qing Sun Iryna Burak Erik Lien Bolager Anna Veselovska Massimo Fornasier Felix Dietrich 35 1 0 31 May 2024
BiLO: Bilevel Local Operator Learning for PDE inverse problems Ray Zirui Zhang Xiaohui Xie John S. Lowengrub 63 1 0 27 Apr 2024
Quantitative Analysis of Molecular Transport in the Extracellular Space Using Physics-Informed Neural Network Jiayi Xie Hongfeng Li Jin Cheng Qingrui Cai Hanbo Tan Lingyun Zu Xiaobo Qu Hongbin Han 15 2 0 23 Jan 2024
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations Taniya Kapoor Hongrui Wang Alfredo Núñez R. Dollevoet AI4CE PINN 6 15 0 01 Nov 2023
Neural oscillators for generalization of physics-informed machine learning Taniya Kapoor Abhishek Chandra D. Tartakovsky Hongrui Wang Alfredo Núñez R. Dollevoet AI4CE 19 10 0 17 Aug 2023
A Domain-adaptive Physics-informed Neural Network for Inverse Problems of Maxwell's Equations in Heterogeneous Media Shiyuan Piao Hong Gu Aina Wang Pan Qin PINN 16 2 0 12 Aug 2023
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale Michael G. Kapteyn Jacob V. R. Pretorius Karen E. Willcox 32 213 0 10 Dec 2020