Physics-Informed Neural Networks

PINN

Neural networks trained to solve supervised learning tasks while respecting given laws of physics described by general nonlinear partial differential equations.

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Parametric Numerical Integration with (Differential) Machine Learning Álvaro Leitao Jonatan Ráfales PINN 17 0 0 12 Dec 2025
Physics-informed neural networks to solve inverse problems in unbounded domains Gregorio Pérez-Bernal Oscar Rincón-Cardeño Silvana Montoya-Noguera Nicolás Guarín-Zapata PINN 87 0 0 12 Dec 2025
On the failure of ReLU activation for physics-informed machine learning Conor Rowan PINN AI4CE 110 0 0 12 Dec 2025
NeuralOGCM: Differentiable Ocean Modeling with Learnable Physics Hao Wu Yuan Gao Fan Xu Fan Zhang Guangliang Liu Yuxuan Liang Xiaomeng Huang PINN AI4CE 84 0 0 12 Dec 2025
Learning Spatiotemporal Tubes for Temporal Reach-Avoid-Stay Tasks using Physics-Informed Neural Networks Ahan Basu Ratnangshu Das Pushpak Jagtap PINN 190 0 0 09 Dec 2025
Opinion: Learning Intuitive Physics May Require More than Visual Data Ellen Su Solim Legris Todd M. Gureckis Mengye Ren PINN VGen 207 0 0 06 Dec 2025
DAE-HardNet: A Physics Constrained Neural Network Enforcing Differential-Algebraic Hard Constraints Rahul Golder Bimol Nath Roy M. M. Faruque Hasan PINN 177 0 0 05 Dec 2025
Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing Ali Mohammad-Djafari Ning Chu Li Wang PINN 216 0 0 02 Dec 2025
Physics-Constrained Neural Dynamics: A Unified Manifold Framework for Large-Scale Power Flow Computation Xuezhi Liu PINN AI4CE 128 0 0 01 Dec 2025
Seeing the Wind from a Falling Leaf Zhiyuan Gao Jiageng Mao Hong-Xing Yu Haozhe Lou Emily Yue-Ting Jia Jernej Barbic Jiajun Wu Yue Wang VGen PINN 128 0 0 30 Nov 2025
Hard-Constrained Neural Networks with Physics-Embedded Architecture for Residual Dynamics Learning and Invariant Enforcement in Cyber-Physical Systems Enzo Nicolás Spotorno Josafat Leal Filho Antônio Augusto Fröhlich PINN AI4CE 97 0 0 28 Nov 2025
AdS/Deep-Learning made easy II: neural network-based approaches to holography and inverse problems Hyun-Sik Jeong Hanse Kim Keun-Young Kim Gaya Yun Hyeonwoo Yu Kwan Yun PINN AI4CE 97 0 0 27 Nov 2025
PAT3D: Physics-Augmented Text-to-3D Scene Generation Guying Lin Kemeng Huang Michael Liu Ruihan Gao Hanke Chen ... Beijia Lu Taku Komura Yuan Liu Jun-Yan Zhu Minchen Li VGen PINN 202 0 0 26 Nov 2025
Physics-Informed Spiking Neural Networks via Conservative Flux Quantization Chi Zhang Lin Wang PINN 171 0 0 26 Nov 2025
Solving Heterogeneous Agent Models with Physics-informed Neural Networks Marta Grzeskiewicz PINN 150 0 0 25 Nov 2025
Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins Xiaowu Sun Thabo Mahendiran Ortal Senouf Denise Auberson Bernard De Bruyne Stephane Fournier Olivier Muller Pascal Frossard Emmanuel Abbe Dorina Thanou PINN AI4CE 176 0 0 25 Nov 2025
iLTM: Integrated Large Tabular Model David Bonet Marçal Comajoan Cara Alvaro Calafell D. M. Montserrat A. Ioannidis LMTD PINN 216 0 0 20 Nov 2025
IPR-1: Interactive Physical Reasoner Mingyu Zhang Lifeng Zhuo Tianxi Tan Guocan Xie Xian Nie ... Renjie Zhao Zizhu He Z. Wang Jiting Cai Yong-Lu Li PINN LRM AI4CE 278 0 0 19 Nov 2025
Enforcing hidden physics in physics-informed neural networks Nanxi Chen Sifan Wang Rujin Ma Airong Chen Chuanjie Cui PINN AI4CE 222 0 0 18 Nov 2025
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers Hao Wei Aleksandra Franz Bjoern List Nils Thuerey PINN AI4CE 280 0 0 16 Nov 2025
Guaranteeing Conservation of Integrals with Projection in Physics-Informed Neural Networks Anthony Baez Wang Zhang Ziwen Ma Lam M. Nguyen Subhro Das Luca Daniel PINN 87 0 0 12 Nov 2025
PEGNet: A Physics-Embedded Graph Network for Long-Term Stable Multiphysics Simulation Can Yang Zhenzhong Wang Junyuan Liu Yunpeng Gong Min Jiang PINN AI4CE 409 0 0 11 Nov 2025
Robot Learning from a Physical World Model Jiageng Mao Sicheng He Hao-Ning Wu Yang You Shuyang Sun ... Huizhong Chen Leonidas Guibas Vitor Campagnolo Guizilini Zhengyu Ma Yue Wang VGen PINN 325 0 0 10 Nov 2025
Enhancing PINN Accuracy for the RLW Equation: Adaptive and Conservative Approaches Aamir Shehzad PINN 293 0 0 08 Nov 2025
Uncertainties in Physics-informed Inverse Problems: The Hidden Risk in Scientific AI Yoh-ichi Mototake Makoto Sasaki PINN AI4CE 240 0 0 06 Nov 2025
Learning Under Laws: A Constraint-Projected Neural PDE Solver that Eliminates Hallucinations Mainak Singha PINN 244 0 0 05 Nov 2025
Extended Physics Informed Neural Network for Hyperbolic Two-Phase Flow in Porous Media Saif Ur Rehman Wajid Yousuf PINN 297 0 0 05 Nov 2025
Energy Loss Functions for Physical Systems Sékou-Oumar Kaba Kusha Sareen Daniel Levy Siamak Ravanbakhsh PINN AI4CE 170 0 0 03 Nov 2025
Structure-Preserving Physics-Informed Neural Network for the Korteweg--de Vries (KdV) Equation Victory Obieke Emmanuel Oguadimma PINN 257 0 0 01 Nov 2025
Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning Mara Daniels Liam Hodgkinson Michael W. Mahoney PINN AI4CE 223 0 0 30 Oct 2025
Hierarchical Physics-Embedded Learning for Spatiotemporal Dynamical Systems Xizhe Wang Xiaobin Song Qingshan Jia Hongbo Zhao Benben Jiang PINN AI4CE 182 0 0 29 Oct 2025
Physics-Informed Extreme Learning Machine (PIELM): Opportunities and Challenges He Yang Fei Ren Francesco Calabro H. Yu Xiaohui Chen Pei-Zhi Zhuang PINN AI4CE 317 0 0 28 Oct 2025
World Simulation with Video Foundation Models for Physical AI Nvidia A. M. Ali Junjie Bai Maciej Bala Yogesh Balaji ... Jing Zhang Qinsheng Zhang Kaiwen Zheng Andrew Zhu Yuke Zhu VGen PINN 303 9 0 28 Oct 2025
Physics-Informed Neural Network Frameworks for the Analysis of Engineering and Biological Dynamical Systems Governed by Ordinary Differential Equations Tyrus Whitman Andrew Particka Christopher Diers Ian Griffin Charuka D. Wickramasinghe Pradeep K. Ranaweera PINN 145 0 0 28 Oct 2025
Identifiable learning of dissipative dynamics Aiqing Zhu Beatrice W. Soh Grigorios A. Pavliotis Qianxiao Li PINN AI4CE 250 1 0 28 Oct 2025
Seeing Structural Failure Before it Happens: An Image-Based Physics-Informed Neural Network (PINN) for Spaghetti Bridge Load Prediction Omer Jauhar Khan Sudais Khan Hafeez Anwar Shahzeb Khan Shams Ul Arifeen AI4CE PINN 185 0 0 27 Oct 2025
A Rapid Physics-Informed Machine Learning Framework Based on Extreme Learning Machine for Inverse Stefan Problems Pei-Zhi Zhuang Ming-Yue Yang Fei Ren Hong-Ya Yue He Yang PINN 140 0 0 24 Oct 2025
PC-NCLaws: Physics-Embedded Conditional Neural Constitutive Laws for Elastoplastic Materials Xueguang Xie Shu Yan Shiwen Jia Siyu Yang Aimin Hao Yang Gao Peng Yu PINN AI4CE 140 0 0 24 Oct 2025
PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis Yu Yang Zhilu Zhang Xiang Zhang Yihan Zeng Hui Li W. Zuo VGen SyDa PINN 198 1 0 24 Oct 2025
Generalizable Reasoning through Compositional Energy Minimization Alexandru Oarga Yilun Du PINN LRM AI4CE 152 1 0 23 Oct 2025
A Physics-Informed Neural Network Approach for UAV Path Planning in Dynamic Environments Shuning Zhang PINN 225 0 0 23 Oct 2025
$Trace Regularity PINNs: Enforcing $\mathrm{H}^{\frac{1}{2}}(\partial Ω)$ for Boundary Data$ Trace Regularity PINNs: Enforcing $\mathrm{H}^{\frac{1}{2}}(\partial Ω)$ for Boundary Data Doyoon Kim Junbin Song PINN 307 0 0 19 Oct 2025
Three-dimensional inversion of gravity data using implicit neural representations Pankaj K Mishra Sanni Laaksonen Jochen Kamm Anand Singh PINN AI4CE 179 0 0 17 Oct 2025
A Comprehensive Evaluation of Graph Neural Networks and Physics Informed Learning for Surrogate Modelling of Finite Element Analysis Nayan Kumar Singh PINN AI4CE 145 0 0 16 Oct 2025
Modeling Adoptive Cell Therapy in Bladder Cancer from Sparse Biological Data using PINNs Kayode Olumoyin Katarzyna Rejniak PINN AI4CE 98 0 0 15 Oct 2025
PhysMaster: Mastering Physical Representation for Video Generation via Reinforcement Learning S. Ji Xi Chen Xin Tao Pengfei Wan Hengshuang Zhao VGen PINN 174 3 0 15 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
The Physics of Data and Tasks: Theories of Locality and Compositionality in Deep Learning Alessandro Favero PINN GNN 196 1 0 07 Oct 2025
Mass Conservation on Rails - Rethinking Physics-Informed Learning of Ice Flow Vector Fields Kim Bente Román Marchant F. Ramos PINN AI4CE 112 0 0 07 Oct 2025
Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Kun Xiang Terry Jingchen Zhang Yinya Huang Jixi He Zirong Liu ... J. N. Han Hang Xu Han Li Bin Dong Xiaodan Liang PINN AI4CE 280 1 0 06 Oct 2025

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