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. RamanPFN: learning from Raman spectral structure with a tabular foundation model

    Aug 3, 2026Xingyu Pan, Huan Wang, Jinjia Guo +3Tabular Foundation ModelsRepresentation Learning

    Beihang University · Cleer Science

  2. Cardiovascular Digital Twins from Physics Based to Data Driven Approaches

    Aug 3, 2026Emmanuel Lwele, Francis ChikwetoData AssimilationPhysics-Informed ML

    Materials and Engineering Research Institute, Sheffield Hallam University, Sheffield, United Kingdom. · Medical Engineering and Cardiology Department, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Sendai, Japan.

  3. Physics-Informed Neural Networks for Complex Eigenfrequency Identification and Mode Structure Reconstruction of the Ground-State ITG Branch

    Aug 3, 2026Dengdi Sun, Bingbing Zhang, Xiao Wang +5Neural PDE SolversPhysics-Informed ML

    School of Artificial Intelligence, Anhui University, Hefei, China · School of Computer Science and Technology, Anhui University, Hefei, China · School of Physics and Electronic Information, Anhui Normal University, Wuhu, China +1

  4. Adaptive Quantum Physics-Informed Neural Networks for Differential Equations with Applications to Fluid Dynamics

    Aug 1, 2026Fabio Pereira dos Santos, Renato Portugal, Júlio de Castro Vargas Fernandes +1PDE SolvingHybrid Quantum-Classical ML

    Coordination of Mathematical and Computational Methods National Laboratory of Scientific Computing Av. Getúlio Vargas, 333 - Quitandinha, Petrópolis - RJ, 25651-075 · Center for Computation and Technology - Louisiana State University, 888 S. Stadium Dr., Baton Rouge, LA 70808, USA

  5. An Embedded RISC-V Evaluation of Kolmogorov--Arnold Networks in Hard-Constrained Recurrent Physics-Informed Models

    Aug 1, 2026Enzo Nicolas Spotorno, Josafat Leal FilhoEfficient Neural Network InferenceKolmogorov-Arnold Networks

    Department of Informatics and Statistics - Graduate Program in Computer Science (PPGCC)

  6. A Physics-Chemistry-Informed Neural Network (PCINN) for Real-Time Spatial-ALD Coverage Prediction and Reliable Kinetics Inversion

    Jul 31, 2026Ning Hu, Chang Liu, Yunlei Jiang +1Neural Surrogate ModelingParameter Identifiability

    School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, China · Information Engineering School, Hangzhou Dianzi University, Hangzhou, China

  7. PiDDM: Physics-Informed Differentiable Degradation Modeling for Lithium-Ion Battery State-of-Health Prediction

    Jul 31, 2026Zeping Chen, Ruda Jian, Sachin Sigdel +3RUL EstimationPhysics-Informed ML

    Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, USA · Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX, USA · Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA +1

  8. A user's guide to PINNs in geometric analysis: lessons from the asymptotic Plateau problem

    Jul 30, 2026Tancredi Schettini GherardiniPhysics-Informed ML

    University of Bonn and Max Planck Institute for Mathematics, Bonn, Germany.

  9. Chem World: A Large-Scale Benchmark and Physics-Informed Framework for Trustworthy Chemical Property Prediction

    Jul 30, 2026Tianyou Bai, Huan Wang, Mingchen Gao +4Physics-Informed MLMolecular Property Prediction

    1Cleer Science · Institute of Automation, Chinese Academy of Sciences · Department of Chemistry, Imperial College London +1

  10. Fractional Parabolic Partial Differential Equations in Anisotropic Spectral Barron Spaces: Regularity and Neural Approximation

    Jul 30, 2026Jae-Hwan Choi, Hyojae Lim, Jinsol Seo +2Neural PDE SolversPDE Solving

  11. Event-Structured Physics-Informed Neural Networks for Differentiable Critical Clearing Boundaries

    Jul 30, 2026Baoli Hao, Chenxi Hu, Ming Zhong +1Neural Surrogate ModelingPhysics-Informed ML

    Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL 60616, USA · Department of Computer Science, The Hang Seng University of Hong Kong, Sha Tin, Hong Kong · Department of Mathematics, University of Houston, Houston TX 77204, USA +1

  12. Comparison of a Parametric Physics-Informed Neural Network and a Tensorial Reduced-Order Model for the Shallow-Water Dam-Break Problem

    Jul 29, 2026Anton Myshak, Md Rezwan Bin Mizan, Ilya TimofeyevPDE Surrogate ModelingReduced-Order Modeling

    Dept. of Mathematics, University of Houston, Houston, TX 77204

  13. PIKS: Universal Physics-Informed Kernel Methods

    Jul 29, 2026Joachim Bona-Pellissier, Giacomo Meanti, Matteo Santacesaria +1Kernel MethodsPhysics-Informed ML

    MaLGa Center, DIBRIS, Università degli Studi di Genova, Genoa, Italy · MaLGa Center, DIMA, Università degli Studi di Genova, Genoa, Italy · Istituto Italiano di Tecnologia, Genoa, Italy

  14. EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks

    Jul 29, 2026Peng Yin, Kai Li, Yifan Zhang +1Automated Algorithm DiscoveryLLM-Based Program Synthesis

    School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing, China · Institute of Automation, Chinese Academy of Sciences, Beijing, China

  15. Where Physics Meets Privacy: Federated PINNs for Privacy-Preserving Brain Tumor Biomechanical Modeling

    Jul 28, 2026Mahmuda Akter Sristy, Md Al-Mahfuz Chowdhury, Momota Ahsana Meem +2Privacy-Preserving MLOncology

    Dept. of Computer Science and Engineering, United International University Dhaka, Bangladesh

  16. Physics-Informed Broad Learning System: An Efficient Backpropagation-Free Framework for Solving Partial Differential Equations

    Jul 28, 2026Pinki Khatun, M. Sajid, Abhinav Jha +1Neural PDE SolversPDE Solving

    Department of Industrial Engineering, Università degli Studi di Firenze, Viale Morgagni 40/44, 50134 Firenze, Italy · Department of Mathematics, Indian Institute of Technology Indore, Indore 453552, India · Department of Mathematics, Indian Institute of Technology Gandhinagar, Palaj, Gandhinagar, 382055, Gujarat, India

  17. GeoID-PINN: Identifiability-Aware Regional Epidemic Inference with Geographic Coupling

    Jul 28, 2026Weixiong Hua, Fan BuEpidemic ForecastingParameter Identifiability

    Department of Biostatistics · University of Michigan · Ann Arbor, Michigan, USA

  18. Fourier Feature Physics-Informed Neural Networks for Elasto-Plastic Analysis of Geomaterials with a Non-Associative Mohr-Coulomb Model

    Jul 27, 2026Apisit Robjanghvad, Sompote YouwaiMaterials SciencePhysics-Informed ML

    AI research group, Department of Civil Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Thailand

  19. Physics-Informed CNN-LSTM for Street-Scale Urban Flood Prediction: Reconciling Aggregate Accuracy and Street-Level Plausibility

    Jul 27, 2026Luc DCosta, Yidi Wang, Jonathan L. Goodall +1Convolutional RNNsFlood Inundation Mapping

    Chandra Robot Autonomy Lab, Department of Computer Science, University of Virginia, Charlottesville, VA 22904, USA · Link Lab, Multidisciplinary Research Center, University of Virginia, Charlottesville, VA 22904, USA · Hydroinformatics Research Group, Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, VA 22904, USA

  20. Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation

    Jul 27, 2026Farzana Yasmin Ahmad, Vanamala Venkataswamy, Geoffrey FoxPhysics-Informed Generative ModelingGradient Interference

    Computer Science Department, University of Virginia USA · Visiting Scholar, University of Virginia USA · Computer Science Department, Biocomplexity Institute, University of Virginia USA

  21. Global Convergence of DGM and PINN Algorithms for Solving Nonlinear PDEs

    Jul 27, 2026Justin Sirignano, Konstantinos Spiliopoulos, Samuel CohenNeural PDE SolversOptimization Convergence Analysis

    Mathematical Institute, University of Oxford · Department of Mathematics and Statistics, Boston University

  22. ELECTRIC: Evidential Learning-Enhanced CT Reconstruction via Iterative Correction

    Jul 27, 2026Ge WangEvidential Deep LearningBayesian Inverse Problems

    Department of Biomedical Engineering Department of Electrical, Computer and Systems Engineering Department of Computer Science Rensselaer Polytechnic Institute, Troy, New York, USA

  23. Variational Boosting for Physics-Informed Neural Networks

    Jul 27, 2026Kaylee Vo, Pavlos ProtopapasEnsemble LearningPDE Solving

    Harvard University

  24. Physics-Informed Neural Networks for Predicting Nitrous Oxide Flux

    Jul 26, 2026Freddy Yu, Jashanjeet Kaur Dhaliwal, Subhadeep ChakrabortyClimate SciencePhysics-Informed ML

    Harvard University · Department of Biosystems Engineering and Soil Science University of Tennessee · Department of Mechanical and Aerospace Engineering University of Tennessee

  25. On the post-hoc Evaluation of PDE Discovery: A Multifaceted Challenge of Scientific Advancement

    Jul 26, 2026Baptiste Mathevon, Farah Cherfaoui, Amaury Habrard +1PDE DiscoveryPhysics-Informed ML

    Université Jean Monnet Saint-Étienne, CNRS, Institut d’Optique Graduate School, Inria, Laboratoire Hubert Curien UMR 5516, F-42023, SAINT-ÉTIENNE, France · Institut Universitaire de France (IUF)

  26. Physics-Informed Neural Networks for Discovering Periodic Orbits in the Gravitational Three-Body Problem

    Jul 26, 2026Nikolaos Kollias, Nikolaos MatzakosDynamical SystemsChaotic Dynamical Systems

    School of Science and Technology, Hellenic Open University, Athens, Greece. · School of Pedagogical and Technological Education (ASPETE), Athens, Greece.

  27. Generalization bounds and sample complexity for remaining useful life prediction from complete degradation trajectories

    Jul 26, 2026Huy Hoang Le, Kim-Anh NguyenRUL EstimationSample Complexity

    R&D Department, PowerMore Ltd., Da Nang 550000, Vietnam · Faculty of Electrical Engineering, University of Science and Technology, The University of Danang, Da Nang 550000, Vietnam

  28. PathRIR: Physics-Guided Acoustic Path Selection and Late-Tail Compensation for Fast Room Impulse Response Simulation

    Jul 25, 2026Shaoheng Xu, Chunyi Sun, Jihui Zhang +3Physics-Informed MLSpatial Audio

    The Australian National University, Australia · The University of Queensland, Australia

  29. PRIMS: Physics-guided Representation for Fluid Identification in Multimodal Sensing

    Jul 24, 2026Hai-Long Nguyen, Trung Thanh Nguyen, Lars Holm +2OOD GeneralizationPhysics-Informed ML

    University of Twente, Netherlands · Nagoya University, Japan

  30. Latent PDE mapping for efficient physics-informed learning across geometries with limited data

    Jul 24, 2026Ingvild Askim Adde, Mary M. Maleckar, Gabriel BalabanPDE Operator LearningPhysics-Informed ML

    Faculty of Health and Technology, Kristiania University of Applied Sciences, Oslo, Norway · Department of Computational Physiology, Simula Research Laboratory, Oslo, Norway