An Expert's Guide to Training Physics-informed Neural Networks

An Expert's Guide to Training Physics-informed Neural Networks

16 August 2023

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Papers citing "An Expert's Guide to Training Physics-informed Neural Networks"

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Title
BiLO: Bilevel Local Operator Learning for PDE Inverse Problems. Part I: PDE-Constrained Optimization Ray Zirui Zhang Christopher E. Miles Xiaohui Xie John S. Lowengrub 395 4 0 27 Apr 2024
Computing distances and means on manifolds with a metric-constrained Eikonal approach Daniel Kelshaw Luca Magri 116 8 0 12 Apr 2024
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations Shahed Rezaei Reza Najian Asl S. Faroughi Mahdi Asgharzadeh Ali Harandi Rasoul Najafi Koopas G. Laschet Stefanie Reese Markus Apel AI4CE 303 13 0 28 Mar 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects Anuj Karpatne X. Jia Vipin Kumar 254 22 0 24 Mar 2024
Precise-Physics Driven Text-to-3D Generation Qingshan Xu Jiao Liu Melvin Wong Caishun Chen Yew-Soon Ong 237 8 0 19 Mar 2024
Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann EquationSIAM Journal on Scientific Computing (SISC), 2024 Jaemin Oh Seung-Yeon Cho Seok-Bae Yun Eunbyung Park Youngjoon Hong AI4CE 237 8 0 10 Mar 2024
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics Michael Penwarden H. Owhadi Robert M. Kirby AI4CE 152 3 0 16 Feb 2024
RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks Chengxi Zeng T. Burghardt A. Gambaruto AI4CE 170 5 0 13 Feb 2024
Feature Mapping in Physics-Informed Neural Networks (PINNs) Chengxi Zeng T. Burghardt A. Gambaruto 257 1 0 10 Feb 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks Sizhuang He Bowen Li Yuhan Chen P. Perdikaris AI4CE PINN 503 78 0 01 Feb 2024
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective Sunwoong Yang Hojin Kim Y. Hong K. Yee R. Maulik Namwoo Kang PINN AI4CE 338 42 0 05 Jan 2024
Physics-informed neural network for modeling dynamic linear elasticity Vijay Kag Venkatesh Gopinath PINN 251 1 0 23 Dec 2023
A Mathematical Guide to Operator Learning Nicolas Boullé Alex Townsend 269 69 0 22 Dec 2023
Physics-informed neural networks for transformed geometries and manifolds Samuel Burbulla AI4CE 130 2 0 27 Nov 2023
Lie Point Symmetry and Physics Informed Networks Tara Akhound-Sadegh Laurence Perreault Levasseur Johannes Brandstetter Max Welling Siamak Ravanbakhsh PINN 168 20 0 07 Nov 2023
Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds Daniel Kelshaw Luca Magri 144 0 0 09 Oct 2023
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 266 117 0 31 Mar 2022