Physics-Informed ML

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

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  1. UBone3D: Physics-Rectified Conditional Flow Matching for Anatomical 3D Shape Completion from Ultrasound

    Sep 11, 2026Weiying Chen, Yuchong Gao, Siyuan Li +3Physics-Informed Generative ModelingPoint Cloud Completion

    University of Alberta, Edmonton, AB, Canada

  2. Toward Reliable Railway-Bogie Response Prediction Using Multifidelity TDNN and Physics-Informed Residual Learning

    Sep 10, 2026Gyeolhee Lee, Moosun Kim, Taewook Kwon +3Surrogate ModelingResidual Learning

    Department of Automotive Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea · Korea Railroad Research Institute, 176 Cheoldobangmulgwan-ro, Uiwang-si, Gyeonggi-do 16105, Republic of Korea · Department of Future Mobility, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea

  3. A variational physics-informed graph neural network for heterogeneous solid mechanics

    Sep 10, 2026Aashay Rajan Yadav, Amiya Prakash Das, Ratna Kumar AnnabattulaNeural PDE SolversStructural Mechanics

    Mechanics of Materials Lab, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, 600036, Tamil Nadu, India

  4. Physics-Informed Multi-Task Surrogate Model for the Martian Nightside Thermosphere

    Sep 9, 2026Sergey NikiforovNeural Surrogate ModelingPhysics-Informed ML

    Center for Astrophysics and Space Science (CASS), New York University Abu Dhabi, Abu Dhabi, United Arab Emirates

  5. Development and Validation of a Physics-Guided Machine Learning Extrapolation Framework Using a Classical Transient Diffusion Benchmark

    Sep 9, 2026Ashutosh Yadav, Alok Dubey, Prodyut Ranjan Chakraborty +1PDE Surrogate ModelingOOD Generalization

    Department of Mechanical Engineering, Indian Institute of Technology Jodhpur, Jodhpur 342030, India · Department of Aerospace Engineering, Indian Institute of Technology Jodhpur, Jodhpur 342030, India

  6. Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU

    Sep 8, 2026Athanasios Papastathopoulos-Katsaros, Alexandra Stavrianidi, Zhandong LiuElectrocardiogram ClassificationPhysics-Informed ML

    Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA · Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA · Institute for Analysis and Numerics, University of Münster, Germany +1

  7. ONE CYLinder: A Benchmark for Graph-Based Surrogate Modeling of Unsteady Bluff-Body Flows

    Sep 8, 2026Théodore Michel, Antoine Campos, Alban Dujardin +3Surrogate ModelingPDE Surrogate Modeling

    Mines Paris PSL University Centre for Material Forming (CEMEF) UMR CNRS, Sophia Antipolis, 06904, France

  8. Multi-Level-Set-Based Physics-Driven Neural Network to Solve 3-D Inverse Scattering Problems

    Sep 8, 2026Yutong Du, Zicheng Liu, Bo Qi +2Physics-Informed MLInverse Problems

    Department of Electronic Engineering, School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710029, China

  9. Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment

    Sep 7, 2026Davide Staub, Ben MoseleyNeural PDE SolversPhysics-Informed ML

    Department of Mathematics, ETH Zürich

  10. Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime Physics

    Sep 7, 2026Hanwen Wang, Paris PerdikarisNeural PDE SolversPhysics-Informed ML

    Graduate Group of Applied Mathematics and Computational Science University of Pennsylvania Philadelphia, PA 19104 · Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania Philadelphia, PA 19104

  11. Decomposition-Guided Diffusion Language Models for Inertial Confinement Fusion Prediction

    Sep 7, 2026Xiang Zhang, Varchas Gopalaswamy, Rahman Ejaz +2Time Series ForecastingPhysics-Informed ML

    Purdue University · University of Rochester

  12. A Systematic Analysis of Automatic Differentiation versus Discretization-based Constraints for Physics-Informed PDE Solvers

    Sep 7, 2026Xing Guo, Hongwei Tang, Zewei Meng +3Automatic DifferentiationNeural PDE Solvers

    School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China

  13. PCFlow: Physics-Conditioned Flow Matching for GPR B-Scan Image Synthesis

    Sep 7, 2026Zhijie Shen, Chenchen Fu, Xuanhao Chang +2Flow MatchingConditional Image Generation

    College of Computer Science and Technology, Jilin University, Changchun 130012, China · Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China

  14. Mesh-Native Physics-Informed Graph Surrogates for TCAD-in-the-Loop Design Space Exploration

    Sep 2, 2026Leonid Popryho, Ayoub Sadeghi, Inna Partin-VaisbandPDE Surrogate ModelingPhysics-Informed ML

    University of Illinois Chicago · Chicago, IL, USA

  15. Physics-Informed Neural Network Surrogate for Oxygen Vacancy Dynamics in epitaxial SrTiO3\mathrm{SrTiO_3} on Si memristors via Dynamic Spectral Optimization

    Sep 2, 2026Rodion Podorozhny, Nikoleta Theodoropoulou, Jelena TešićPDE Surrogate ModelingMaterials Science

    Dept. of Computer Science, Texas State University, San Marcos, TX, USA · Dept. of Physics, Texas State University, San Marcos, TX, USA

  16. A Computational Comparison of Fourier Spectral Differentiation and Spatial Automatic Differentiation in Periodic Physics-Informed Neural Networks

    Sep 2, 2026Xilai Liang, Zhao ZhangPhysics-Informed MLAutomatic Differentiation

    Guangdong Technion–Israel Institute of Technology, Shantou, Guangdong, China · Research Centre for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, Shandong Province, 266237, China

  17. CAHR-Net: Condition-Adaptive Hysteresis Reconstruction for Compact and Interpretable Magnetic Core Loss Modeling

    Sep 2, 2026Chunye Gong, Cong YaoMaterials Property PredictionPhysics-Informed ML

    College of Computing, National University of Defense Technology, Changsha 410073, China · National Supercomputer Center in Tianjin, Tianjin 300457, China · Laboratory of Digitizing Software for Frontier Equipment, National University of Defense Technology, Changsha 410073, China

  18. Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks

    Sep 1, 2026Jing Xiao, Xinhai Chen, Qinglin Wang +5Neural Network OptimizationGradient Interference

    Laboratory of Digitizing Software for Frontier Equipment, National University of Defense Technology, Changsha 410073, China · National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China · School of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China

  19. Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks

    Sep 1, 2026Mehrdad Shafiei Dizaji, Hoda AzariRemote SensingPhysics-Informed ML

    Post-Doctoral Research Fellow, Federal Highway Administration, Turner-Fairbank Highway Research Center, McLean, VA 22101 · Nondestructive Evaluation Program and Laboratory Manager, Federal Highway Administration, Turner-Fairbank Highway Research Center, McLean, VA 22101

  20. iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy

    Sep 1, 2026Ravi Teja Vulchi, Carl Messerschmidt, Mohammadsadegh Vafaeinezhad +4Physics-Informed MLRaman Spectroscopy

    Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research · Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI)

  21. DeSyR: A Decoupled Symbolic Recovery Framework with PINN-Guided Structure Search and Physics-Informed Coefficient Refinement

    Sep 1, 2026Pancheng Niu, Jun Guo, Qiaolin He +2Parameter EstimationPhysics-Informed ML

    Chengdu University of Information Technology, College of Applied Mathematics, Chengdu, 610225, China · Sichuan University, School of Mathematics, Chengdu, 610065, China · Hong Kong Polytechnic University, Department of Computing, Hong Kong, 999077, China +1

  22. Analytic Dynamics: Learning Physics-Grounded Representation for Fast Intrinsic Dynamics Inference from Monocular Videos

    Aug 31, 2026Jailing Lin, Jikuan Zhang, Jianhua SunMaterials Property PredictionVideo Representation Learning

    School of Artificial Intelligence, Shanghai Jiao Tong University

  23. A Hybrid PEM-GP Framework for Uncertainty-Aware System Identification of Quadcopters

    Aug 31, 2026Abdallah Ghoul, Ismail Khalil Bousserhane, Kadri BoufeldjaRobot Dynamics IdentificationNonlinear System Identification

    Electrical Engineering Department, University of Bechar, Bechar 08000, Algeria

  24. Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography

    Aug 24, 2026Yuanyuan Zhang, Yida Zhang, Jiahui Li +6Physics-Informed MLWearable Health Monitoring

    School of Electrical and Computer Engineering, University of Georgia, Athens, 30603, United States · School of Computing, University of Georgia, Athens, 30603, United States · Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305, United States +1

  25. Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach

    Aug 20, 2026Amrita Shaw, Chandrasekar S. N., Sai Muthukumar V. +2Physics-Informed MLRaman Spectroscopy

    Department of Food and Nutritional Sciences, Sri Sathya Sai Institute of Higher Learning, Vidyagiri, Prasanthi Nilayam, Sri Sathya Sai District, Andhra Pradesh, India – 515134. · Aix-Marseille University, Marseille, 13007, France. · Department of Physics, Sri Sathya Sai Institute of Higher Learning, Vidyagiri, Prasanthi Nilayam, Sri Sathya Sai District, Andhra Pradesh, India – 515134. +1

  26. Physics-informed distribution of relaxation times estimation and latent-space condition monitoring of solid oxide fuel and electrolysis cells from electrochemical impedance spectroscopy

    Aug 13, 2026Žan Gorenc, Žiga Gradišar, Felix Mütter +2Convolutional AutoencoderPhysics-Informed ML

    Jožef Stefan International Postgraduate School, Jamova cesta 39, Ljubljana, 1000, Slovenia · Institute of Thermal Engineering, Graz University of Technology, Inffeldgasse 25/B, Graz, 8010, Austria · Jožef Stefan Institute, Jamova cesta 39, Ljubljana, 1000, Slovenia +1

  27. Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations

    Aug 13, 2026Berk Hadzhamolla, Alexander Johannes Stasik, Signe Riemer-SørensenPhysics-Informed MLNeural ODEs

    University of Oslo, Oslo, 0316, Norway · 2,3 SINTEF AS, Department of Mathematics and Cybernetics, Oslo, Norway · Department of Data Science, Norwegian University of Life Sciences, ˚As, Norway

  28. History-informed Lagrangian Neural Networks

    Aug 13, 2026Tianshuo Zhang, Xianglei Xing, Wenzhe Zhai +2Latent Dynamics ModelingPhysics-Informed ML

    College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China

  29. Forward Trajectory Steering for Hamilton-Jacobi Reachability Analysis

    Aug 11, 2026Sungje Park, Stephen TuReachability AnalysisNeural PDE Solvers

    with the Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.

  30. Variational Parameter Calibration with Physics-Aware Latent-Space Surrogates

    Aug 11, 2026Qiyao Zhou, Xujia Zhu, Pierre Joli +2Neural Surrogate ModelingParameter Estimation

    LMEE, UnivEvry, Université Paris-Saclay, Evry, France · L2S, Université Paris-Saclay, CNRS, CentraleSupéléc, Gif-sur-Yvette, France · CEREA, ENPC, EDF R&D, Institut Polytechnique de Paris, Île-de-France, France