Physics-Informed ML

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93 papers in the last four weeks, up 26% on the four weeks before. 0.6% of all new papers.

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  1. Collocation-based Robust Physics Informed Neural Networks for time-dependent simulations of pollution propagation under thermal inversion conditions on Spitsbergen

    Apr 24, 2026Leszek Siwik, Maciej Sikora, Natalia Leszczyńska +7Neural PDE SolversAir Quality Prediction

    AGH University of Krakow, Faculty of Computer Science, Al. Mickiewicza 30, Kraków, 30-059, Poland · Medical University of Silesia-Katowice, Faculty of Medical Sciences, ul. Poniatowskiego 15, Katowice, 40-055, Poland · The University Centre in Svalbard, Longyearbyen, Box 156 N-9171, Longyearbyen, Norway +4

  2. Information-Theoretic Geometry Optimization and Physics-Aware Learning for Calibration-Free Magnetic Localization

    Apr 24, 2026Wenxuan Xie, Yuelin Zhang, Qingpeng Ding +4Sim-to-Real TransferWireless Localization

    Department of Mechanical and Automation Engineering and T Stone Robotics Institute, The Chinese University of Hong Kong, Hong Kong.

  3. Transferable Physics-Informed Representations via Closed-Form Head Adaptation

    Apr 23, 2026Jian Cheng Wong, Isaac Yin Chung Lai, Pao-Hsiung Chiu +3Representation LearningPDE Solving

    Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore · National University of Singapore (NUS), Singapore · Indian Institute of Technology Goa (IIT Goa), India +1

  4. A Green-Integral-Constrained Neural Solver with Stochastic Physics-Informed Regularization

    Apr 23, 2026Mohammad Mahdi Abedi, David Pardo, Tariq AlkhalifahNeural PDE SolversPDE Solving

    University of the Basque Country (UPV/EHU), Department of Mathematics, Spain · Basque Center for Applied Mathematics (BCAM), Bilbao, Spain · Ikerbasque, Basque Foundation for Science, Bilbao, Spain +1

  5. CO2_2 sequestration hybrid solver using isogeometric alternating-directions and collocation-based robust variational physics informed neural networks (IGA-ADS-CRVPINN)

    Apr 22, 2026Askold Vilkha, Tomasz Służalec, Marcin Łoś +1Neural PDE SolversPDE Solving

    AGH University of Krakow, Faculty of Computer Science, Al. Mickiewicza 2026 30, Kraków, 30-059, Poland

  6. Physics-Informed Conditional Diffusion for Motion-Robust Retinal Temporal Laser Speckle Contrast Imaging

    Apr 22, 2026Qian Chen, Yuehao Chen, Qiang Wang +3Image ReconstructionPhysics-Informed ML

    Department of Biomedical Engineering, Peking University, Beijing, China · Institute of Medical Technology, Peking University, Beijing, China · Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, China +2

  7. Physics-Enhanced Deep Learning for Proactive Thermal Runaway Forecasting in Li-Ion Batteries

    Apr 22, 2026Salman Khan, Syed Sajid Ullah, Muhammad Zunair Zamir +3Recurrent Neural NetworksPhysics-Informed ML

  8. A Hybrid Windkessel-Neural Approach for Improved Noninvasive Blood Pressure Monitoring

    Apr 21, 2026Vaibhav Gollapalli, Aniruth AnanthanarayananPhysics-Informed MLWearable Health Monitoring

    Department of Physics University of North Texas Denton, United States of America

  9. Physics-Informed Neural Networks for Biological 2D+t2\mathrm{D}{+}t Reaction-Diffusion Systems

    Apr 20, 2026William Lavery, Jodie A. Cochrane, Christian Olesen +3Dynamical SystemsPDE Discovery

    Dept. of Information Technology Uppsala University Uppsala, Sweden · Dept. of Medical Genetics Oslo University Hospital Oslo, Norway · Dept. of Translational Hematology and Oncology Research, Cleveland Clinic, Cleveland, USA +1

  10. Physics-Informed Neural Networks: A Didactic Derivation of the Complete Training Cycle

    Apr 20, 2026Abdeladhim TahimiBackpropagationPhysics-Informed ML

    Campus de Engenharias e Ciências Agrárias (CECA), Universidade Federal de Alagoas (UFAL), Rio Largo, Alagoas, 57100-000, Brazil

  11. Scalable Physics-Informed Neural Differential Equations and Data-Driven Algorithms for HVAC Systems

    Apr 20, 2026Hanfeng Zhai, Hongtao Qiao, Hassan Mansour +1Neural Surrogate ModelingPhysics-Informed ML

    Department of Mechanical Engineering, Stanford University, Stanford, CA · Mitsubishi Electric Research Laboratories, Cambridge, MA

  12. Dissipative Latent Residual Physics-Informed Neural Networks for Modeling and Identification of Electromechanical Systems

    Apr 20, 2026Youyuan Long, Gokhan Solak, Arash AjoudaniDynamical SystemsResidual Learning

    Human-Robot Interfaces and Interaction Lab, Istituto Italiano di Tecnologia, 16163 Genoa, Italy

  13. Machine Learning Hamiltonian Dynamical Systems with Sparse and Noisy Data

    Apr 19, 2026Vedanta Thapar, Abhinav GuptaNonlinear System IdentificationRecurrent Neural Networks

    The Mathematical Institute, University of Oxford, Oxford OX2 6GG, United Kingdom · Center for Theoretical Physics, St. Stephen’s College, University of Delhi, Delhi 110007, India

  14. What Physics do Data-Driven MoCap-to-Radar Models Learn?

    Apr 19, 2026Kevin Chen, Kenneth W. Parker, Anish AroraPhysics-Informed ML

    Computer Science & Engineering The Ohio State University Columbus, Ohio · Unaffiliated Waterford, Virginia

  15. Uncertainty Quantification in PINNs for Turbulent Flows: Bayesian Inference and Repulsive Ensembles

    Apr 18, 2026Khemraj Shukla, Zongren Zou, Theo Kaeufer +2Uncertainty QuantificationDeep Ensembles

    Division of Applied Mathematics, Brown University, Providence, RI, USA · Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA · Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

  16. Physics-Informed Tracking (PIT)

    Apr 18, 2026Emil Hovad, Allan Peter Engsig-KarupPoint TrackingVisual Object Tracking

    Department of Applied Mathematics and Computer Science (DTU Compute) Technical University of Denmark

  17. Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches

    Apr 18, 2026Yixuan WangPDE SolvingKolmogorov-Arnold Networks

    CALIFORNIA INSTITUTE OF TECHNOLOGY Pasadena, California · [math.NA]

  18. Zero-Shot Scalable Resilience in UAV Swarms: A Decentralized Imitation Learning Framework with Physics-Informed Graph Interactions

    Apr 17, 2026Huan Lin, Lianghui DingMulti-Robot SystemsSwarm Robotics

    Institute of Image Communication and Network Engineering, School of Integrated Circuits, Shanghai Jiao Tong University, Shanghai 200240, China

  19. Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks

    Apr 17, 2026Hyeongmeen Baik, Hamed Poursiami, Maryam Parsa +1Parameter EstimationPredictive Maintenance

    University of Wisconsin–Madison Madison, Wisconsin, USA · George Mason University Fairfax, Virginia, USA

  20. PINNACLE: An Open-Source Computational Framework for Classical and Quantum PINNs

    Apr 17, 2026Shimon Pisnoy, Hemanth Chandravamsi, Ziv Chen +4Neural PDE SolversPDE Surrogate Modeling

    †Faculty of Mechanical Engineering, Technion Israel Institute of Technology, Haifa, Israel. · ‡Corresponding author. · §The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering, Technion Israel Institute of Technology, Haifa, Israel. +2

  21. Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning

    Apr 17, 2026Reza PirayeshshirazinezhadSelf-Supervised LearningAdaptive Loss Weighting

    Texas A&M University College Station, TX, USA

  22. G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes

    Apr 16, 2026Jack T. Beerman, Tyler J. Abele, Mehdi Taghizadeh +6Neural PDE SolversPDE Surrogate Modeling

    School of Data Science, University of Virginia, Charlottesville, VA 22903, United States · Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA 22903, United States · Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, United States +1

  23. Python library supporting Discrete Variational Formulations and training solutions with Collocation-based Robust Variational Physics Informed Neural Networks (DVF-CRVPINN)

    Apr 16, 2026Tomasz Służalec, Marcin Łoś, Askold Vilkha +1PDE SolvingPhysics-Informed ML

    AGH University of Krakow, Poland

  24. SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems

    Apr 16, 2026Murat Furkan Mansur, Tufan KumbasarNeural Surrogate ModelingParameter Estimation

    AI and Intelligent Systems Laboratory, Istanbul Technical University, 34469, Istanbul, Türkiye

  25. Lightweight Geometric Adaptation for Training Physics-Informed Neural Networks

    Apr 16, 2026Kang An, Chenhao Si, Shiqian Ma +1Neural Network OptimizationSecond-Order Optimization

    School of Data Science The Chinese University of Hong Kong, Shenzhen Shenzhen, China

  26. Physics-Informed Machine Learning for Pouch Cell Temperature Estimation

    Apr 16, 2026Zheng LiuNeural Surrogate ModelingPDE Surrogate Modeling

    Department of Industrial and Manufacturing Systems Engineering University of Michigan-Dearborn Dearborn, USA

  27. Material-Agnostic Zero-Shot Thermal Inference for Metal Additive Manufacturing via a Parametric PINN Framework

    Apr 16, 2026Hyeonsu Lee, Jihoon JeongNeural Surrogate ModelingZero-Shot Learning

    Wm Michael Barnes ’64 Department of Industrial and Systems Engineering Texas A&M University College Station, TX 77843, USA

  28. Learning Without Adversarial Training: A Physics-Informed Neural Network for Secure Power System State Estimation under False Data Injection Attacks

    Apr 3, 2026Solon Falas, Markos Asprou, Charalambos Konstantinou +1False Data Injection AttacksAdversarial Robustness

    KIOS Center of Excellence, University of Cyprus · CEMSE, King Abdullah University of Science and Technology (KAUST) · Department of Electrical and Computer Engineering, University of Cyprus

  29. Stochastic Dimension Implicit Functional Projections for Global Integral Conservation in High-Dimensional PINNs

    Mar 31, 2026Zhangyong Liang, Huanhuan GaoNeural PDE SolversPhysics-Informed ML

    National Center for Applied Mathematics, Tianjin University, Tianjin, 300072, China · School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China

  30. Quality-Controlled Active Learning via Gaussian Processes for Robust Structure-Property Learning in Autonomous Microscopy

    Mar 31, 2026Jawad Chowdhury, Ganesh Narasimha, Jan-Chi Yang +4Active LearningPhysics-Informed ML

    Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA. · Department of Physics, National Cheng Kung University, Tainan, 70101, Taiwan.