Physics-Informed ML

ML: Machine Learning

Follow this topic Ask about this topic

Momentum

60 papers in the last four weeks, up 131% on the four weeks before. 0.6% of all new papers.

Jul 13Week of Sep 28

Latest papers 561

All topics

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics
May 5, 2026Hao Zhou, Rui Zhang, Han Wan +1Physics-Informed Generative Modeling Uncertainty Quantification
Gaoling School of Artificial Intelligence, Renmin University of China
Random test functions, $H^{-1}$ norm equivalence, and stochastic variational physics-informed neural networks
May 5, 2026Diego MarcondesNeural PDE Solvers PDE Solving
Meta-Inverse Physics-Informed Neural Networks for High-Dimensional Ordinary Differential Equations
May 5, 2026Zhao Wei, Kenneth Hor Cheng Koh, Sheng Yuan Chin +3Meta-Learning Physics-Informed ML
Centre for Frontier AI Research (CFAR) and the Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Singapore · Singapore Institute of Food and Biotechnology Innovation (SIFBI), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos, Singapore 138669, Singapore · A*STAR Skin Research Labs (A*SRL), Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, Immunos, Singapore 138648, Singapore +1
Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions
May 4, 2026Sergio Orozco, Tushar Kusnur, Brandon May +2Deformable Object Manipulation Robotic Manipulation
Brown University, Providence, RI · Robotics and AI (RAI) Institute, Cambridge, MA · General Motors
Physics-Informed Neural Learning for State Reconstruction and Parameter Identification in Coupled Greenhouse Climate Dynamics
May 4, 2026Sani Biswas, Khursheed J. Ansari, Md. Nasim AkhtarNonlinear System Identification Physics-Informed ML
Centro de Modelamiento Matemático (CMM), Universidad de Chile & IRL 2807 - CNRS, Santiago, 8370456, Chile · Department of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi Arabia · Department of Mathematics, Presidency University, Kolkata, 700 073, India
Variational Matrix-Learning Fourier Networks for Parametric Multiphysics Surrogates
May 4, 2026Xinyu Li, Jianhua Zhang, Liang ChenPDE Surrogate Modeling Physics-Informed ML
School of Microelectronics, Shanghai University, Shanghai 201800, China
Chebyshev-Augmented One-Shot Transfer Learning for PINNs on Nonlinear Differential Equations
May 2, 2026Yiqi Rao, Pavlos ProtopapasPDE Solving Transfer Learning
Harvard University
Toward a foundational thermal model for residential buildings
May 2, 2026Ting-Yu Dai, Kingsley Nweye, Dev Niyogi +1Time Series Forecasting Physics-Informed ML
The University of Texas at Austin · Eindhoven University of Technology
Predicting Euler Characteristics and Constructing Topological Structure Using Machine Learning Techniques
May 1, 2026Gyunghun Yu, Seong Min Park, Han Gyu Yoon +4Physics-Informed ML
Department of Physics, Kyung Hee University, Seoul, South Korea · Department of Physics, Kyung Hee University, Seoul 02447, South Korea · Center for Spintronics, Korea Institute of Science and Technology, Seoul, South Korea +1
Mesh Field Theory: Port-Hamiltonian Formulation of Mesh-Based Physics
May 1, 2026Satoshi Noguchi, Yoshinobu KawaharaDynamical Systems Scientific ML
Center for Mathematical Science and Advanced Technology, JAMSTEC · Center for Advanced Intelligence Project, RIKEN · Graduate School of Information Science and Technology, The University of Osaka.
PILIR: Physics-Informed Local Implicit Representation
May 1, 2026Jianfeng Li, Feng Wang, Ke TangNeural PDE Solvers Implicit Neural Representations
School of Computer Science, Wuhan University · School of Computer Science and Technology, Southern University of Science and Technology
An adaptive wavelet-based PINN for problems with localized high-magnitude source
Apr 30, 2026Himanshu Pandey, Ratikanta BeheraPDE Solving Wavelet Methods
Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, 560012, India
Attractor FCM
Apr 30, 2026Alexis KafantarisRecurrent Neural Networks Physics-Informed ML
Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Constrained Neural Network
Apr 30, 2026Radmir Karamov, Tagir KaramovMaterials Property Prediction Materials Science
Center for Material Technologies · Skolkovo Institute of Science and Technology · Center for Petroleum Science and Engineering
Green Physics-Informed Machine Learning Models For Structural Health Monitoring
Apr 30, 2026Daisy R Bradley, Elizabeth J CrossEnergy-Efficient ML Physics-Informed ML
University of Sheffield Sheffield, UK
PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting
Apr 30, 2026Hira Saleem, Flora Salim, Cormac PurcellTransformer Physics-Informed ML
University of New South Wales, Sydney, NSW, Australia
PiGGO: Physics-Guided Learnable Graph Kalman Filters for Virtual Sensing of Nonlinear Dynamic Structures under Uncertainty
Apr 29, 2026Marcus Haywood-Alexander, Gregory Duthé, Eleni ChatziPhysics-Informed ML Virtual Sensing
aDepartment of Civil, Environmental and Geomatic Engineering, ETH Zürich, Wolfgang-Pauli Strasse 5, 8049, Zürich, Switzerland · bFuture Resilient Systems, Singapore-ETH Centre, Singapore, Singapore
Advancing multi-site emission control: A physics-informed transfer learning framework with mixture of experts for carbon-pollutant synergy
Apr 29, 2026Yuxuan Ying, Hanqing Yang, Kaige Wang +6Cross-Domain Transfer Learning Physics-Informed ML
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, 310023, China. · Alibaba Group, Hangzhou, 311100, China. · School of Computer Science and Technology, Zhejiang Normal University, Hangzhou, 311231, China. +2
Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks
Apr 29, 2026Beomchul Park, Minsu Koh, Heejo Kong +1Neural PDE Solvers Meta-Learning
Department of Artificial Intelligence, Korea University, Anam-dong, Seongbuk-gu, Seoul, 02841, Republic of Korea · Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-gu, Seoul, 02841, Republic of Korea
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
Apr 28, 2026Ankur Kamboj, Biswadip Dey, Vaibhav SrivastavaDynamical Systems Feedback Control
Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824 · Meta Reality Labs, Redmond, WA 98052
Momentum-Conserving Graph Neural Networks for Deformable Objects
Apr 28, 2026Jiahong Wang, Logan Numerow, Stelian Coros +3Graph Neural Networks Physics-Informed ML
Max Planck Institute for Informatics · ETH Zurich · University of Bonn +1
Residual-loss Anomaly Analysis of Physics-Informed Neural Networks: An Inverse Method for Change-point Detection in Nonlinear Dynamical Systems with Regime Switching
Apr 28, 2026Yuhe Bai, Chengli Tan, Jiaqi Li +2Dynamical Systems Regime-Switching Dynamical Systems
School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, 430074, China · School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, 710072, China
Adaptable phase retrieval for coherent transition radiation spectroscopy based on differentiable physics information
Apr 28, 2026Ritz Ann Aguilar, Maxwell LaBerge, Andreas Doepp +6Differentiable Physics Physics-Informed ML
Institute of Radiation Physics, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany · Centre for Advanced Laser Applications, Ludwig-Maximilians-Universität München, Garching, Germany · Center for Advanced Systems Understanding, Görlitz, Germany +2
PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices
Apr 28, 2026Changyu Li, Lu Wang, Ming Lei +4Test-Time Adaptation Human Activity Recognition
School of Computing and Information Technology, Great Bay University, Dongguan, China · College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China · University of Warwick, Coventry, U.K. +2
When Less Is More: Simplicity Beats Complexity for Physics-Constrained InSAR Phase Unwrapping
Apr 28, 2026Prabhjot Singh, Manmeet SinghU-Net Remote Sensing
The University of Texas at Austin, USA · RediMinds Inc., USA · Western Kentucky University, USA
PINNs in More General Geometry
Apr 27, 2026Edward HirstPhysics-Informed ML
Instituto de Matemática, Estatística e Computação Científica (IMECC), Universidade Estadual de Campinas (UNICAMP), 13083-859, Brazil
Learning with Embedded Linear Equality Constraints via Variational Bayesian Inference
Apr 27, 2026Matthew Marsh, Benoît Chachuat, Antonio del Rio ChanonaBayesian Neural Networks Uncertainty Quantification
Sargent Centre for Process Systems Engineering, Imperial College London
Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring
Apr 27, 2026Nikolaos Salaris, Adrien Desjardins, Manish K. TiwariPhysics-Informed ML
Nanoengineered Systems Laboratory, Mechanical Engineering Department, University College London, London WC1E 7JE, UK · UCL Hawkes Institute, University College London, London W1W 7TS, UK · Department of Electrical and Computer Engineering, University of British Colombia, 5500-2332 Main Mall, Vancouver, BC Canada V6T 1Z4
Multi-scale Dynamic Wake Modeling and Prediction of Floating Offshore Wind Turbines via Physics-Informed Neural Networks and Fourier Neural Operators
Apr 27, 2026Guodan Dong, Jianhua Qin, Chang XuFourier Neural Operator PDE Surrogate Modeling
College of Renewable Energy Hohai University Changzhou 213200 China · College of Water Conservancy and Hydropower Engineering Nanjing 210098 China · National Technology Innovation Center for Wind Power Hohai University Changzhou 213200 China
Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics
Apr 26, 2026Ashwin Suriyanarayanan, Dibyajyoti Chakraborty, Romit MaulikPhysics-Informed ML Computational Fluid Dynamics
School of Mechanical Engineering Purdue University West Lafayette, IN 47907 · College of Information Sciences and Technology Pennsylvania State University University Park, PA 16802

May 5, 2026, cs.LGJ/K move · Enter open · S save

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics

Hao Zhou, Rui Zhang, Han Wan, Hao Sun

Gaoling School of Artificial Intelligence, Renmin University of China

Physics-Informed Generative Modeling Uncertainty Quantification Rectified Flow Generative Modeling Physics-Informed ML Flow-Based Generative Modeling+1

Open paper AskPDF arXiv

Reconstructing PDE-governed fields from sparse and irregular measurements is challenging due to their ill-posed nature. Deterministic surrogates are trained on dense fields that struggle with limited measurements and uncertainty quantification. Generative models, by learning distributions over spatiotemporal fields, can better handle sparsity and uncertainty. However, existing generative approaches enforce data consistency and PDE constraints simultaneously via sampling-time gradient guidance, resulting in slow and unstable inference. To this end, we propose PerFlow, a Physics-embedded rectified Flow for efficient sparse reconstruction and uncertainty quantification of spatiotemporal dynamics. PerFlow decouples observation conditioning from physics enforcement, performing guidance-free conditioning by feeding observations into rectified-flow dynamics while embedding hard physics via a constraint-preserving projection (e.g., incompressibility or conservation). Theoretically, we establish invariance guarantees to ensure that trajectories remain on the physics-consistent manifold throughout sampling. Experiments on various PDE systems demonstrate competitive reconstruction accuracy with sound physics consistency, while enabling efficient conditional sampling (e.g., 50 steps) and up to 320x faster inference than 2000-step guided diffusion baselines.

Momentum

Related topics

Latest papers 561