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

16 August 2023

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

50 / 66 papers shown

Title
Improving the accuracy and generalizability of molecular property regression models with a substructure-substitution-rule-informed frameworkAnnual Conference of the IEEE Industrial Electronics Society (IECON), 2022 Xiaoyu Fan Lin Guo Ruizhen Jia Yang Tian Zhihao Yang Boxue Tian AI4CE 192 0 0 11 Nov 2025
LieSolver: A PDE-constrained solver for IBVPs using Lie symmetries R. P. Klausen Ivan Timofeev Johannes Frank Jonas R. Naujoks Thomas Wiegand Sebastian Lapuschkin Wojciech Samek AI4CE 87 0 0 29 Oct 2025
Gradient Enhanced Self-Training Physics-Informed Neural Network (gST-PINN) for Solving Nonlinear Partial Differential Equations Narayan S Iyer Bivas Bhaumik Ram S Iyer Satyasaran Changdar PINN AI4CE 102 0 0 12 Oct 2025
AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition Jonah Botvinick-Greenhouse Wael H. Ali M. Benosman S. Mowlavi AI4CE 107 0 0 10 Oct 2025
HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution Qiongyang Hu Wenyang Liu Wenbin Zou Yuejiao Su Lap-Pui Chau Yi Wang 108 1 0 08 Oct 2025
Physics-informed time series analysis with Kolmogorov-Arnold Networks under Ehrenfest constraints Abhijit Sen Illya V. Lukin K. Jacobs Lev Kaplan Andrii G. Sotnikov Denys I. Bondar AI4TS AI4CE 75 0 0 23 Sep 2025
Indoor Airflow Imaging Using Physics-Informed Background-Oriented Schlieren Tomography Arjun Teh Wael H. Ali Joshua Rapp Hassan Mansour AI4CE 72 0 0 17 Sep 2025
Spectral Bottleneck in Deep Neural Networks: Noise is All You Need Hemanth Chandravamsi Dhanush V. Shenoy Itay Zinn Shimon Pisnoy Steven H. Frankel 100 1 0 09 Sep 2025
Neuro-Spectral Architectures for Causal Physics-Informed Networks Arthur Bizzi Leonardo M. Moreira Márcio Marques Leonardo Mendonça Christian Júnior de Oliveira ... Daniel Yukimura Pavel Petrov João M. Pereira Tiago Novello Lucas Nissenbaum PINN 272 1 0 05 Sep 2025
Gaussian Process Regression of Steering Vectors With Physics-Aware Deep Composite Kernels for Augmented Listening Diego Di Carlo Koyama Shoichi Nugraha Aditya Arie Fontaine Mathieu Bando Yoshiaki Yoshii Kazuyoshi LLMSV 120 0 0 20 Aug 2025
Strategies for training point distributions in physics-informed neural networks Santosh Humagain Toni Schneidereit 72 0 0 17 Aug 2025
Improved Training Strategies for Physics-Informed Neural Networks using Real Experimental Data in Aluminum Spot Welding Jan A. Zak Christian Weißenfels AI4CE 99 0 0 06 Aug 2025
Solved in Unit Domain: JacobiNet for Differentiable Coordinate-Transformed PINNs Xi Chen J. Yang Junjie Zhang Runnan Yang Xu Liu Hong Wang Tinghui Zheng Ziyu Ren Wenqi Hu 98 0 0 04 Aug 2025
Simulating Three-dimensional Turbulence with Physics-informed Neural Networks Sifan Wang Shyam Sankaran Xiantao Fan P. Stinis P. Perdikaris PINN AI4CE 133 6 0 11 Jul 2025
Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks Jonas R. Naujoks Aleksander Krasowski Moritz Weckbecker Galip Umit Yolcu Thomas Wiegand Sebastian Lapuschkin Wojciech Samek R. P. Klausen TDI PINN AI4CE 198 1 0 19 Jun 2025
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Julius Berner Miguel Liu-Schiaffini Jean Kossaifi Valentin Duruisseaux Boris Bonev Kamyar Azizzadenesheli A. Anandkumar AI4CE 324 3 0 12 Jun 2025
Are Statistical Methods Obsolete in the Era of Deep Learning? Skyler Wu Shihao Yang S. C. Kou 84 0 0 27 May 2025
Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement Jonas A. Actor Graham Harper Ben Southworth E. Cyr 169 1 0 23 May 2025
A Physics-Informed Spatiotemporal Deep Learning Framework for Turbulent Systems Luca Menicali Andrew Grace David H. Richter Stefano Castruccio AI4CE 226 0 0 16 May 2025
Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models Matthias Höfler Francesco Regazzoni S. Pagani Elias Karabelas Christoph M. Augustin Gundolf Haase Gernot Plank Federica Caforio 135 2 0 06 May 2025
Integration Matters for Learning PDEs with Backwards SDEs Sungje Park Stephen Tu PINN 298 0 0 02 May 2025
Multi-level datasets training method in Physics-Informed Neural Networks Yao-Hsuan Tsai Hsiao-Tung Juan Pao-Hsiung Chiu Chao-An Lin AI4CE 239 0 0 30 Apr 2025
Inverse Modeling of Dielectric Response in Time Domain using Physics-Informed Neural Networks Emir Esenov Olof Hjortstam Yuriy Serdyuk Thomas Hammarström Christian Häger 160 0 0 28 Apr 2025
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers Rui Zhang Liang Li Stéphane Lanteri Hao Kang Jiaqi Li 173 1 0 14 Apr 2025
Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings Christopher Straub Philipp Brendel Vlad Medvedev A. Rosskopf 226 5 0 01 Apr 2025
On-site estimation of battery electrochemical parameters via transfer learning based physics-informed neural network approach Josu Yeregui Iker Lopetegi Sergio Fernandez Erik Garayalde Unai Iraola 239 1 0 28 Mar 2025
Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks Oscar L. Cruz-González Valérie Deplano Badih Ghattas MedIm AI4CE 184 1 0 19 Mar 2025
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble Zongren Zou Zhicheng Wang George Karniadakis PINN AI4CE 310 11 0 08 Mar 2025
Unraveling particle dark matter with Physics-Informed Neural NetworksPhysics Letters B (Phys. Lett. B), 2025 M.P. Bento H.B. Câmara J.F. Seabra 300 2 0 24 Feb 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators N. Gabriel N. Johnson George Em Karniadakis AI4CE 266 0 0 21 Feb 2025
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective Sizhuang He Ananyae Kumar Bhartari Bowen Li P. Perdikaris PINN 406 32 0 02 Feb 2025
Sample-Efficient Behavior Cloning Using General Domain KnowledgeInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Feiyu Zhu Jean Oh Reid Simmons 79 0 0 27 Jan 2025
Coupled Integral PINN for conservation law Yeping Wang Shihao Yang PINN 169 1 0 18 Nov 2024
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning Juan Diego Toscano Vivek Oommen Alan John Varghese Zongren Zou Nazanin Ahmadi Daryakenari Chenxi Wu George Karniadakis PINN AI4CE 163 111 0 17 Oct 2024
Enhanced physics-informed neural networks (PINNs) for high-order power grid dynamics Vineet Jagadeesan Nair PINN 163 0 0 10 Oct 2024
Gaussian Variational Schemes on Bounded and Unbounded Domains Jonas A. Actor Anthony Gruber E. Cyr Nathaniel Trask 216 0 0 08 Oct 2024
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning Sofya Dymchenko Abhishek Purandare Bruno Raffin AI4CE 182 0 0 08 Oct 2024
HyResPINNs: Hybrid Residual Networks for Adaptive Neural and RBF Integration in Solving PDEs Madison Cooley Robert M. Kirby Shandian Zhe Varun Shankar PINN AI4CE 171 0 0 04 Oct 2024
Deep Learning Alternatives of the Kolmogorov Superposition TheoremInternational Conference on Learning Representations (ICLR), 2024 Leonardo Ferreira Guilhoto P. Perdikaris 292 10 0 02 Oct 2024
Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials Sizhuang He Tong-Rui Liu Shyam Sankaran P. Perdikaris AI4CE 291 6 0 23 Sep 2024
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition Milad Ramezankhani Rishi Parekh A. Deodhar Dagnachew Birru AI4CE 98 0 0 13 Sep 2024
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical SystemsInternational Conference on Informatics in Control, Automation and Robotics (ICINCO), 2024 Henrik Krauss Tim-Lukas Habich Max Bartholdt Thomas Seel Moritz Schappler PINN AI4CE 247 5 0 27 Aug 2024
Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN Subhajit Patra Sonali Panda B. K. Parida Mahima Arya Kurt Jacobs Denys I. Bondar Abhijit Sen 219 18 0 25 Jul 2024
Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks Spyros Rigas M. Papachristou Theofilos Papadopoulos Fotios Anagnostopoulos Georgios Alexandridis AI4CE 226 45 0 24 Jul 2024
Dynamical Measure Transport and Neural PDE Solvers for Sampling Jingtong Sun Julius Berner Lorenz Richter Marius Zeinhofer Johannes Müller Kamyar Azizzadenesheli Anima Anandkumar OT DiffM 196 17 0 10 Jul 2024
FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flamesCombustion and Flame (CF), 2024 Jiahao Wu Su Zhang Yuxin Wu Guihua Zhang Xin Li Hai Zhang AI4CE PINN 78 6 0 07 Jun 2024
Astral: training physics-informed neural networks with error majorants V. Fanaskov Tianchi Yu Alexander Rudikov Ivan Oseledets 236 1 0 04 Jun 2024
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation Madison Cooley Shandian Zhe Robert M. Kirby Varun Shankar 381 1 0 04 Jun 2024
RoPINN: Region Optimized Physics-Informed Neural NetworksNeural Information Processing Systems (NeurIPS), 2024 Haixu Wu Huakun Luo Yuezhou Ma Jianmin Wang Mingsheng Long AI4CE 137 24 0 23 May 2024
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 355 4 0 27 Apr 2024