Physics-Informed ML

ML: Machine Learning

Latest papers 561

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  1. Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers

    Jul 24, 2026Zhangyong Liang, Huanhuan GaoNeural PDE SolversRiemannian Optimization

  2. Stokes-Informed Diffusion for Robust Linear Polarization Estimation

    Jul 23, 2026Yidong Luo, Chenggong Li, Yuchao Feng +3Physics-Informed MLPolarimetric Imaging

  3. Physics-Informed Deep Learning Model for Cross-Modality Super-Resolution in Fluorescence Microscopy

    Jul 23, 2026Mohammad Soltaninezhad, Elena Corbetta, Francisco Paez Larios +4Image-to-Image TranslationPhysics-Informed ML

  4. Latent Variable-Mediated Cross-Learning for Few-Shot Acoustic Impedance Imaging

    Jul 23, 2026Junheng Peng, Yong Li, Mingwei Wang +1Physics-Informed MLSemi-Supervised Learning

  5. PG-KINN: A Physics-Informed Petrov-Galerkin Kolmogorov-Arnold Network for Solving Forward and Inverse PDEs

    Jul 22, 2026Amirhossein Sadr, Nima Soltani, Vahideh Moghtadaiee +3Neural PDE SolversKolmogorov-Arnold Networks

  6. Interval and fuzzy physics-augmented neural networks (iPANN and fPANN) for uncertainty quantification and propagation in constitutive modeling

    Jul 22, 2026Somesh Pratap Singh, Govinda Anantha Padmanabha, Jingye Tan +4Uncertainty QuantificationHyperelasticity

  7. Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields

    Jul 22, 2026Tianyu Li, Zhiwei Cao, Qingang Zhang +3Neural Surrogate ModelingGraph Neural Networks

  8. DINS-IO: Learned Inertial Odometry via Differentiable INS Consistency

    Jul 22, 2026Hao Qiao, Yan Wang, Jian Kuang +1Inertial OdometrySelf-Supervised Learning

  9. PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling

    Jul 22, 2026Shiyuan Luo, Runlong Yu, Chonghao Qiu +6Time Series ForecastingAdaptive Retrieval

  10. Physics-Aware Complex-Valued State Space Model with Scattering-Prior Feature Modulation for PolSAR Image Classification

    Jul 22, 2026Fangyan Zhang, Fan Zhang, Shiqi Zhou +3Complex-Valued Neural NetworksVisual SSMs

  11. Boundary-Adapted PINNs for Elliptic Dirichlet Problems: H2(Ω)H^2(Ω) A Priori Error Bounds with Application to Mean Escape Time Computation

    Jul 21, 2026Nathanael Tepakbong, Jun Fan, Xiang Zhou +1PDE SolvingNeural Network Approximation Theory

  12. Predicting Activities in Aqueous Electrolyte Solutions with Hybrid Machine Learning

    Jul 21, 2026Zeno Romero, Maximilian Kohns, Fabian JirasekPhysics-Informed ML

  13. Probabilistic Physics-Aware Machine Learning Predictions of Electric Truck Energy Consumption with Field Data

    Jul 21, 2026Hannes Nilsson, Rafael Basso, Balázs Kulcsár +1Uncertainty QuantificationProbabilistic Forecasting

  14. Physics-Informed Super-Resolution of Atmospheric Data

    Jul 21, 2026Chang Xu, Gencer Sumbul, Hugo Porta +3Climate ModelingPhysics-Informed ML

  15. Physics Closure Matters for Machine Olfaction: A Maxwell-Stefan Graph Solver for Identifiable Dynamic Gas Unmixing

    Jul 20, 2026Yue Shi, Liangxiu Han, Xin Zhang +1Graph Neural NetworksNeural PDE Solvers

  16. FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

    Jul 20, 2026Peiyu Zang, Bosen Xie, Ruoxiang Xu +1Automatic DifferentiationNeural PDE Solvers

  17. Physical Self-Supervised Learning: IMU Sensing without Manual Labels

    Jul 20, 2026Yuyang Leng, Renyuan Liu, Shaohan Hu +4Self-Supervised LearningPhysics-Informed ML

  18. Predicting Grasping Compliance in Robotic Hands through Analytical-Model-Informed Neural Networks

    Jul 20, 2026Qianwen Zhao, Long WangRobotic GraspingRobotic Tool Use

  19. ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction

    Jul 19, 2026Hexiao Ding, Hongzhao Chen, Jing Lan +12Graph SSLPhysics-Informed ML

  20. Physics-Guided Masked Multi-Task Network for Edge-Friendly Battery Health Diagnostics from Sto-chastically Fragmented Charging Profiles

    Jul 19, 2026Shuhao Chen, Tianyu Shi, Chengyi TuRUL EstimationTransformer

  21. Bridging battery design and health assessment through virtual sensing and physics-informed learning

    Jul 18, 2026Wendi Guo, Søren Byg Vilsen, Daniel Ioan Stroe +4RUL EstimationMaterials Science

  22. Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitation Forecasting

    Jul 17, 2026Akshay Sunil, Muhammed Rashid, Raja Sekhar Sivaraju +2Precipitation ForecastingU-Net

  23. A Semiparametric Framework for Stochastic Fundamental Diagram Modeling

    Jul 17, 2026Pengnan Chi, Xiaoliang Ma, Magnus Jansson +1Intelligent Transportation SystemsPhysics-Informed ML

  24. Trainable Spline Representations for Physics-Informed Learning

    Jul 17, 2026Giovanni Canali, Nicola Demo, Gianluigi RozzaPDE SolvingPhysics-Informed ML

  25. Evolutionary Algorithm-Guided LLMs for Physics-Informed Neural Network Design

    Jul 17, 2026Xu Yang, Mingyang Yu, Jing Xu +1Neural PDE SolversEvolutionary Optimization

  26. RTS Smoother-Guided Learning of Physics-Based Neural Differential Models

    Jul 16, 2026Ahmet Demirkaya, Georgios Stratis, Tales Imbiriba +2Dynamical SystemsParameter Estimation

  27. DAPGNet: Dynamic Adaptive Physics-Guided Graph Diffusion Network for Hyperspectral Image Classification

    Jul 16, 2026Pengkun Wang, Weijia Cao, Ning Wang +1Graph Structure LearningHyperspectral Imaging