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. Progressive Knowledge-Guided Large Language Model Framework for Bearing Fault Diagnosis

    Jun 15, 2026Jinghan Wang, Gaoliang Peng, Yanjun Chen +3Multi-Scale Feature FusionPhysics-Informed ML

    Harbin Institute of Technology, China · Eastern Institute of Technology, China

  2. Petrov-Galerkin Variational Physics-Informed Neural Network Framework for Two-Dimensional Singularly Perturbed Problems

    Jun 15, 2026Vijay Kumar, Gautam SinghNeural PDE SolversPhysics-Informed ML

    Department of Mathematics, National Institute of Technology Tiruchirappalli, Tiruchirappalli, 620015, Tamil Nadu, India.

  3. Beer-Lambert Guided Representation Learning for Unsupervised Anomaly Detection in Sub-THz Food Inspection Images

    Jun 15, 2026Gyutae Hwang, Sang Jun LeeIndustrial Anomaly DetectionIndustrial Inspection

    Division of Electronics and Information Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, 54896, Jeonbuk-do, Republic of Korea

  4. SciML in the Wild: A Diagnostic Study of When Structural Priors Help and When They Hurt

    Jun 15, 2026Vrishank Sai Anand, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar +2Time Series ForecastingScientific ML

    GEMS Modern Academy Dubai, United Arab Emirates · Vizuara AI Labs, Pune, India

  5. Phys-JEPA: Physics-Informed Latent World Models for Multivariate Time-Series Forecasting

    Jun 15, 2026Weizhi Nie, Weichao Liu, Honglin Guo +1Multivariate Time Series ForecastingLatent Dynamics Modeling

    Tianjin University

  6. HAPI-EP: Towards Hybrid, Adaptive, and Predictive Digital Twins of Cardiac Electrophysiology

    Jun 14, 2026Sumeet Vadhavkar, Xiajun Jiang, Yubo Ye +2Adaptive InferencePhysics-Informed ML

  7. Dual-Network PINNs for Optimal Control: A Reproducible Benchmark on the Mass-Spring-Damper System

    Jun 13, 2026Abdeladhim Tahimi, Rinaldo Vieira da Silva JuniorPhysics-Informed MLOptimal Control

    Centro de Engenharias e Ciˆencias Agr´arias, Universidade Federal de Alagoas, Brazil

  8. Physics-Driven Zero-Shot MRI Reconstruction with Non-local Image Priors

    Jun 13, 2026Lingtong Zhang, Wenlei Li, Mu He +2Self-Supervised LearningImage Reconstruction

    School of Information Science and Technology, University of Science and Technology of China, Hefei, China

  9. Physics-conforming Latent Twins

    Jun 13, 2026Matthias Chung, Yutong Bu, Deepanshu VermaNeural Surrogate ModelingSurrogate Modeling

    Department of Mathematics, Emory University, 400 Dowman Drive, Atlanta, 30322, GA, USA · School of Mathematical and Statistical Sciences, Clemson University, 220 Parkway Drive, Clemson, 29634, SC, USA

  10. A Hybrid GNN-FEM Framework for Phase-Field Fracture Simulation. Physics-Preserving Hybridization for Generalizable Surrogate Modeling

    Jun 12, 2026Hyeonbin Moon, Yongjin Choi, Seunghwa RyuStructural MechanicsPDE Surrogate Modeling

    Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea · KAIST InnoCORE PRISM-AI Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea · Department of AX, College of AI, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea

  11. Physics-Informed Discovery of Yield Functions in Plasticity via Convex Neural Representations

    Jun 12, 2026Hyeonbin Moon, Donghyuk Cho, Jecheon Yu +2Parameter IdentifiabilityPhysics-Informed ML

    Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea · School of Engineering, Deakin University, 75 Pigdons Road, Waurn Ponds, Victoria, 3216, Australia · KAIST InnoCORE PRISM-AI Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea +1

  12. Robin-Neumann Coupling of PINN and FEM Solvers: A Steklov-Poincaré View, with Application to Fluid-Structure Interaction with Contact

    Jun 12, 2026Mikel LandajuelaPDE SolvingPhysics-Informed ML

    Lawrence Livermore National Laboratory

  13. Full-Self Diagnostics (FSD): Physics-Grounded Visual Biomarker Inference from Smartphone Video via Inverse Problems and Operator Learning

    Jun 11, 2026Jonathan Thomas, Harsh ThakerPhysics-Informed MLInverse Problems

    Algomash® (Algorithmic Mashup Inc.)

  14. A fully GPU-based workflow for building physics emulators of hypersonic flows

    Jun 11, 2026Fabian Paischer, Dylan Rubini, Deniz A. Bezgin +6Neural Surrogate ModelingPhysics-Informed ML

    ELLIS Unit, Institute for Machine Learning, JKU Linz · EMMI AI, Linz · Chair of Aerodynamics and Fluid Mechanics, TU Munich, Germany

  15. Physics-Guided Spatiotemporal Learning for Coastal Wave Peak Period Estimation from Video

    Jun 11, 2026Abubakar Hamisu Kamagata, Dharm Singh Jat, Attlee Munyaradzi Gamundani +2Physics-Informed ML

    Computer Science, Namibia University of Science and Technology, 13 Jackson Kaujeua Street, Windhoek, 13388, Windhoek, Namibia. · Computer Science Engineering, Indian Institute of Technology Indore,2026 Khandwa Road, Simrol, Indore, 453552, Madhya Pradesh, India. · Namdeb 1906, Windhoek, Namibia.

  16. Neural Architectures as Functional Priors in Physics-Informed Control Problems

    Jun 11, 2026Sonia Rubio Herranz, Fernando Carlos López Hernández, Antonio López MontesDynamical SystemsPhysics-Informed ML

    Department of Statistics and Operations Research (EIO), Universidad Complutense de Madrid, 28040 Madrid, Spain · Department of Software Engineering and Artificial Intelligence, Universidad Complutense de Madrid, 28040 Madrid, Spain · Department of Analysis and Applied Mathematics, Universidad Complutense de Madrid, 28040 Madrid, Spain

  17. MPC for underactuated spacecraft control with a Lyapunov supervised physics-informed neural network correction layer

    Jun 11, 2026Amirhossein Ayanmanesh Motlaghmofrad, Carlo Cena, Mauro Martini +1Nonlinear MPCFeedback Control

    Politecnico di Torino, Torino (TO), ITA · Argotec S.R.L., San Mauro (TO), ITA

  18. Physics-Informed Neural Networks and Radial Basis Functions for PDEs with Dirac Delta Sources

    Jun 10, 2026Manuel Reyna, Alexandre TartakovskyPDE SolvingPhysics-Informed ML

    Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, 205 North Mathews Avenue, Urbana, 61801, IL, USA

  19. Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability

    Jun 10, 2026Riya Bisht, Dhruv AgarwalDynamical SystemsParameter Estimation

  20. Physics-Aware Auxiliary Losses Improve Out-of-Distribution Generalization of a GNN Synthesizability Filter

    Jun 10, 2026Riya Bisht, Dhruv AgarwalGraph Neural NetworksOOD Generalization

  21. Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems

    Jun 10, 2026Zhen Zhang, Alessandro Alla, George Em KarniadakisConstrained OptimizationPhysics-Informed ML

    Division of Applied Mathematic, Brown University, Providence, RI, USA · Department of Mathematics, Sapienza Università di Roma, Rome, Italy

  22. An Electric Potential-Augmented Benchmark Dataset for Physics-Guided Image Reconstruction of Electrical Capacitance Tomography

    Jun 10, 2026Xinqi Zhang, Qiming Ma, Lihui PengImage ReconstructionPhysics-Informed ML

    Department of Automation, Tsinghua University, Beijing 100084, China

  23. Reliable Error Estimation for PINNs: Lower and Upper A Posteriori Bounds

    Jun 10, 2026Ismail Huseynov, Arzu Ahmadova, Agamirza BashirovDynamical SystemsNeural Network Verification

    Physikalisch-Technische Bundesanstalt (PTB), Germany · Technical University of Berlin, Germany · Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany +1

  24. Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive Modeling

    Jun 10, 2026Ge Song, Kiarash Naghavi Khanghah, Anandkumar Patel +2Neural Surrogate ModelingMaterials Property Prediction

    School of Mechanical, Aerospace and Manufacturing Engineering, University of Connecticut, Storrs, CT 06269 · Department of Mechanical & Aerospace Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854

  25. SwiftCTS: Fast Cross-Design Prediction and Pareto Optimization of Clock Tree Metrics via Few-Shot Calibration

    Jun 9, 2026Barsat Khadka, Kawsher Roxy, Md Rubel AhmedSurrogate ModelingSurrogate-Assisted Optimization

    The University of Southern Mississippi Hattiesburg, MS, USA · Intel Corporation Hillsboro, OR, USA · Louisiana Tech University Ruston, LA, USA

  26. Population-Aware Physics-Informed Neural Particle Flow for Bayesian Update

    Jun 9, 2026Batu Candan, Simone ServadioBayesian InferenceDeep Sets

    Iowa State University, Ames, IA 50011, USA

  27. Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks

    Jun 9, 2026Manuel Ricardo Guevara Garban, Yves Chemisky, Étienne Prulière +3Neural Surrogate ModelingStructural Mechanics

    Univ. Bordeaux, CNRS, Bordeaux INP, I2M, UMR 5295, Talence, France · Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, Talence, France · Institute of Mechanics and Fluid Dynamics, TU Bergakademie Freiberg, Freiberg, 09599, Germany +2

  28. Least-Action-Guided Diffusion for Physical Extrapolation

    Jun 9, 2026Zhongxin Yang, Yuanwei Bin, Xiang I. A. Yang +1Physics-Informed Diffusion ModelsPhysics-Informed Generative Modeling

    College of Engineering, Peking University, Beijing 100871, China · Ningbo Institute for Digital Twin, Eastern Institute of Technology, Ningbo 315200, Zhejiang, China · Eastern Institute for Advanced Study, Eastern Institute of Technology, Ningbo 315200, Zhejiang, China +2

  29. An adaptive framework for the axisymmetric pulsar magnetosphere using physics-informed Kolmogorov-Arnold networks

    Jun 9, 2026Spyros Rigas, Ioannis Contopoulos, Georgios Alexandridis +1Neural PDE SolversPhysics-Informed ML

    Department of Digital Industry Technologies, School of Science, National and Kapodistrian University of Athens, 34400 Psachna, Greece · Research Center for Astronomy and Applied Mathematics, Academy of Athens, 11527 Athens, Greece

  30. PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection

    Jun 9, 2026Fateme Mohammad Mohammadi, Hector Budman, Joshua L. PulsipherNeural Surrogate ModelingConstrained Optimization

    Department of Chemical Engineering University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada