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. Physics-Informed Diffusion for Biomechanically Plausible 3D Sign Language Generation

    Jul 16, 2026Emanuele Colonna, Moises Diaz, Gennaro Vessio +2Physics-Informed Diffusion ModelsHuman Motion Generation

    Department of Computer Science, University of Bari Aldo Moro, Bari, Italy · Institute for Technological Development and Innovation in Communications, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

  2. Probabilistic Physics-Informed Neural Networks for Estimating Heterogeneous Elastic Properties from Low-Resolution and Noisy Displacement Data

    Jul 16, 2026Tatthapong Srikitrungruang, Jaesung LeeStructural MechanicsMaterials Property Prediction

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

  3. LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks

    Jul 15, 2026Nilay Anurag, Shital Adhikari, Taniya Kapoor +1Neural PDE SolversNeural Network Optimization

    Department of Computer Science, Stevens Institute of Technology · Artificial Intelligence Group, Wageningen University & Research

  4. Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography

    Jul 15, 2026Boyuan Deng, Kshitiz Upadhyay, Michael ShieldsPDE SolvingPhysics-Informed ML

    Department of Civil and Systems Engineering, Johns Hopkins University · Department of Aerospace Engineering and Mechanics, University of Minnesota

  5. Spectral-Informed Neural Networks Outperform Spectral Methods in High-dimensional PDEs

    Jul 15, 2026Tianchi Yu, Ivan OseledetsPDE SolvingPhysics-Informed ML

    1AXXX · 2Applied AI Institute · 3INM

  6. Real-time fall detection based on vision for low-power edge platforms

    Jul 14, 2026Wenjun Xia, Zhicheng Peng, Haopeng Li +1Fall DetectionPhysics-Informed ML

    Jiangsu University, Zhenjiang, China

  7. Energy-Based Physics-Informed Form Finding for Clustered Tensegrity Structures

    Jul 14, 2026Jing Qin, Muhao ChenStructural MechanicsEnergy-Based Models

    Department of Mathematics, University of Kentucky, Lexington, KY 40506, USA · Department of Mechanical and Aerospace Engineering, University of Houston, Houston, TX 77204, USA

  8. A hybrid analytical-PINN model for subsurface simulation of geothermal heat exchangers in heterogeneous underground

    Jul 14, 2026Moke Rao, Thomas Hamacher, Smajil HalilovicNeural Surrogate ModelingPDE Surrogate Modeling

    Technical University of Munich, Chair of Renewable and Sustainable Energy Systems, Germany

  9. Generating Physically Plausible Parachute Dynamics with Deep Generative Modeling

    Jul 13, 2026Yulong Yang, Clara O'Farrell, Christine Allen-BlanchettePhysics-Informed Generative ModelingPhysics-Informed ML

    Mechanical and Aerospace Engineering, Engineering Quadrangle, Princeton, NJ 08544 · Group Supervisor, Dynamics, Modeling, Flight Mechanics & UQ, 4800 Oak Grove Dr, M/S 198-326, Pasadena, CA 91011, AIAA Member · Center for Statistics and Machine Learning, Engineering Quadrangle, Princeton, NJ 08544

  10. SPARC-Net: A Spectral, Causality-Aware, and Hard-Constrained Physics-Informed Architecture for Stiff and Shock-Dominated Partial Differential Equations

    Jul 13, 2026Divyavardhan Singh, Dimple Sonone, Hammad Mohammad +1PDE SolvingSpectral Bias

    Dept. of Electronics Engg. SVNIT Surat, India

  11. FlowPET: Physics-Informed Symplectic Flow Matching for Low-Count PET Reconstruction

    Jul 13, 2026Zheng Zhang, Hao Tang, Yingying Hu +2Flow MatchingImage Reconstruction

    Centre for Smart Health, The Hong Kong Polytechnic University, Hong Kong, China · Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China · Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

  12. Multi-dimensional training-priority weighting based on physical information propagation paths: a unified residual-weighting framework for physics-informed neural networks

    Jul 13, 2026Zhangyi Lian, Xinda Dong, Wenxuan Huo +3Neural PDE SolversAdaptive Loss Weighting

    College of Mechanical and Vehicle Engineering Chongqing University Chongqing 400030, China · State Key Laboratory of Tribology in Advanced Equipment Department of Mechanical Engineering Tsinghua University Beijing 100084, China

  13. Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance

    Jul 13, 2026Zixuan Shen, Bingchuan Wang, Zhi Wang +1Neural PDE SolversPDE Surrogate Modeling

    Central South University · Central South University, Changsha, Hunan 410083, China · Nanjing University +1

  14. Incremental Transformer for Surrogate-Based Inverse Design of Geopolymer Mixtures

    Jul 12, 2026Giansalvo Cirrincione, Filippo GrassiaSurrogate ModelingMaterials Property Prediction

    Laboratory of Innovative Technologies (LTI, EA 3899) University of Picardie Jules Verne, Amiens, 80025, Hauts-de-France, France

  15. Co4ICF: Co-evolving Physics-Informed Surrogate and RL-based Pulse Optimizer for Inertial Confinement Fusion

    Jul 11, 2026Jiatong Zhao, Tengyue Zhang, Yuhan Wang +2Reinforcement LearningSurrogate-Assisted Optimization

    School of Physics and Astronomy Zhiyuan College Shanghai Jiao Tong University Shanghai, China · School of Physics and Astronomy Shanghai Jiao Tong University Shanghai, China · School of Artificial Intelligence Shanghai Jiao Tong University Shanghai, China

  16. PIER-Flow: Physics-Informed Efficient Rectified Flow for Real-Time Mobile Robot Navigation

    Jul 11, 2026Shibo Li, Zhongcheng Wang, Jiahe Cao +2Constrained Motion PlanningRobot Policy Learning

    School of Automation, Northwestern Polytechnical University, Xi’an, China · Department of Robotics, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi SE45 05, United Arab Emirates

  17. The Differential Neural Tangent Kernel and Its Positivity

    Jul 11, 2026Bangti Jin, Longjun WuNeural PDE SolversPhysics-Informed ML

    Department of Mathematics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, P.R. China

  18. Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics

    Jul 10, 2026Okezzi Ukorigho, Opeoluwa OwoyeleSurrogate ModelingPDE Surrogate Modeling

    Department of Mechanical and Industrial Engineering Louisiana State University, Baton Rouge, LA 70810, USA

  19. Residual Physics-Informed Neural Networks for High-Fidelity BLDC Motor Modeling

    Jul 10, 2026Haitham El-HussienyNeural Surrogate ModelingPhysics-Informed ML

    Department of Mechatronics and Robotics Engineering, Egypt-Japan University of Science and Technology (E-JUST), New Burg El-Arab City, Alexandria, Egypt

  20. PARA-PV: Physics-Aware Retrieval-Augmented PV Prediction Based on Frozen Foundation Model and Distribution Shift Correction

    Jul 9, 2026Hang Fan, Weican Liu, Ying Lu +3Time Series ForecastingNon-Stationary Time Series Forecasting

    School of Economics and Management, North China Electric Power University, 102206, Beijing, China · School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, 50 Nanyang Avenue, Singapore · Department of Electrical Engineering, Tsinghua University, 100084, Beijing, China

  21. Beyond Thermal Imaging: Inferring Thermophysical Properties from Time-Resolved Thermal Observations

    Jul 8, 2026Chenghao Xu, Malcolm Mielle, Olga FinkThermal Imaging3D Reconstruction

    Intelligent Maintenance and Operations Systems, ´Ecole polytechnique f´ed´erale de Lausanne, Station 18, Lausanne, 1015, Vaud, Switzerland. · Schindler Lab EPFL, Schindler Holding AG, Station 18, Lausanne, 1015, Vaud, Switzerland.

  22. Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling

    Jul 8, 2026Sarah Grewe, Jörg FrochteSurrogate ModelingResidual Learning

    Bochum University of Applied Sciences Germany

  23. HPG-Diff: Hierarchical physics-guided diffusion with differentiable connectivity constraints for topology optimization

    Jul 8, 2026Jinbo Yang, Mingyue Yuan, Boyuan Zhang +2Topology OptimizationPhysics-Informed Diffusion Models

    School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China · Computer Science and Engineering, University of New South Wales, Sydney, 2052, Australia · College of Intelligence and Computing, Tianjin University, Tianjin, 300072, China +1

  24. Physics-guided spatiotemporal neural models for fuel density prediction

    Jul 8, 2026Tolga Caglar, Jaynil Jaiswal, Saqib Azim +3Wildfire ForecastingPhysics-Informed ML

    San Diego Supercomputer Center University of California, San Diego

  25. CaLiSym: Learning Symplectic Dynamics of Real-World Systems through Structured Canonical Lifts

    Jul 7, 2026Aristotelis Papatheodorou, Pranav Vaidhyanathan, Natalia Ares +2Dynamical SystemsRobotics

    Department of Engineering Science, University of Oxford, Oxford, UK · School of Mathematics and Physics, University of Sussex, Brighton, BN1 9RH, UK. National Centre for Quantum Computing, Rutherford Appleton Laboratory, Harwell Campus, Didcot, Oxfordshire, OX11 0QX UK

  26. A Physics-Informed Neural Network Framework for Elastodynamic Wave Propagation in Bimaterial Systems

    Jul 7, 2026Sonal Ankush Chibire, Jenn-Terng Gau, Bo ZhangStructural MechanicsPDE Surrogate Modeling

    Department of Mechanical Engineering, Northern Illinois University, 1425 W Lincoln Hwy, DeKalb, 60115, IL, USA.

  27. Physics-Informed Neural Embeddings of PDE Solution Families

    Jul 7, 2026Raul Jimenez, Svitlana Mayboroda, Pavlos Protopapas +3Intrinsic DimensionalityPDE Solving

    Institute of Cosmos Sciences (ICC), University of Barcelona, Martí i Franquès 1, ES-08028, Barcelona, Spain. · Department of Mathematics, ETH Zurich, Rämistrasse 101, 8092, Zürich, Switzerland. · Institute for Applied Computational Science, Harvard University, Cambridge, MA, USA. +1

  28. Learning-based Physics-Constrained Neural Kernel for Sound Field Estimation With Source-Position-Dependent Directional Weighting

    Jul 7, 2026Mattia Marella, Shoichi KoyamaKernel RegressionImplicit Neural Representations

    National Institute of Informatics, Tokyo, Japan · University of Ferrara, Ferrara, Italy

  29. PhyMRI-SR: Toward Physics-Aware MRI Image Super-Resolution

    Jul 7, 2026Lihua Wei, Huatong Gao, Jia Gong +4Medical Image Super-ResolutionMagnetic Resonance Imaging

  30. Self-Supervised Implicit CEST Reconstruction via Physics-Informed Lorentz Encoding

    Jul 7, 2026Dexuan Li, Yupeng Wu, Chenglong Wang +4Implicit Neural RepresentationsImage Reconstruction

    Shanghai Key Laboratory of Magnetic Resonance, Institute of Magnetic Resonance and Molecular Imaging in Medicine, East China Normal University