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. LithoDreamer: A Physics-Informed World Model for Multi-Stage Computational Lithography

    Jun 25, 2026Yuqi Jiang, Yumeng Liu, Zimu Li +7World Model LearningSemiconductor Manufacturing

    Zhejiang University, No. 38 Zheda Road, Xihu District, Hangzhou, Zhejiang Province, China.

  2. A welding penetration prediction model for laser welding process based on self-supervised learning using physics-informed neural networks

    Jun 24, 2026Sen Li, Xiaoying Liu, Xiaojian Xu +5Self-Supervised LearningPhysics-Informed ML

    Shanghai Key Laboratory of Materials Laser Processing and Modification, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China. · Shanghai Shipbuilding Technology Research Institute, Shanghai 200032, China.

  3. Silent Failures in Physics-Informed Neural Networks: Parameter Poisoning and the Limits of Loss-Based Validation

    Jun 23, 2026David McShannon, Nicholas DietrichModel MisspecificationPhysics-Informed ML

  4. A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling

    Jun 23, 2026Somyajit Chakraborty, Ming Pan, Xizhong ChenSurrogate ModelingPDE Surrogate Modeling

    Shanghai Jiao Tong University, Department of Chemistry and Chemical Engineering 800 Dongchuan Road, Minhang District, Shanghai, 200240, China

  5. Extended pseudo-spectral physics-informed neural networks for phase-field models

    Jun 23, 2026Callum Marsh, Radek Erban, Andreas MunchPhysics-Informed MLPDE Inverse Problems

    Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, United Kingdom

  6. A Synthetic Reliability-Aware PINN Benchmark for Offshore Wind Turbine Support-Structure Monitoring with Bayesian Inverse Identification

    Jun 23, 2026Puneet Kant, Monika TanwarNeural Surrogate ModelingBayesian Inverse Problems

    aSchool of Artificial Intelligence and Data Science, Indian Institute of Technology Jodhpur · bSchool of Management and Entrepreneurship, Indian Institute of Technology Jodhpur

  7. DVL-DeepONet: A Physics-Guided Operator Learning for Resilient Underwater Navigation

    Jun 22, 2026Arup Kumar Sahoo, Itzik KleinUnderwater RoboticsPhysics-Informed ML

    The Hatter Department of Marine Technologies, Leon H. Charney School of Marine Sciences, University of Haifa, Haifa, 3498838, Israel

  8. Physics-Informed Modeling for Wood Thermal Analysis and Prediction

    Jun 22, 2026Jingren Xie, Alex John Buckthal, Ryan Anthony O'Connor +2Thermal ImagingMaterials Property Prediction

    Technical University of Denmark Denmark · Pioneer Centre for AI Denmark · The Royal Danish Academy Denmark

  9. Adaptive Hard-Soft Physics-Informed Neural Networks for Robust Boundary-Constrained PDE Solving

    Jun 22, 2026Duc Tien Nguyen, Trinh Minh Tuan, Nguyen Duc Manh +2PDE SolvingAdaptive Loss Weighting

    aCollege of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · bCenter for AI Research, VinUniversity, Hanoi, Vietnam · dDepartment of Mathematics and Informatics, Hanoi University of Science and Technology, Hanoi, Vietnam +1

  10. SPADE: Structure-Prior Adaptive Decision Estimation

    Jun 22, 2026Yifan WangModel SelectionScientific ML

    Department of Mechanical Engineering, McGill University · QC, H3A 2T7, Canada

  11. Physics-Guided Spatiotemporal State Space Modeling for Lookahead Molten Pool Segmentation in Laser Wire-Feed Welding

    Jun 22, 2026Sen Li, Haichao Cui, Changhao Yin +4Physics-Informed MLSemantic Segmentation

    Shanghai Key Laboratory of Materials Laser Processing and Modification, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China

  12. Deep material network for homogenization of piezoelectric composites

    Jun 21, 2026Ting-Ju Wei, Yen-Ming Lu, Chuin-Shan ChenNeural Surrogate ModelingMaterials Science

    Department of Civil Engineering National Taiwan University Taipei, Taiwan · Department of Civil Engineering Department of Materials Science and Engineering National Taiwan University Taipei, Taiwan

  13. Physics-Informed Domain-Invariant Feature Learning with Autoencoder-Driven Gaussian Clustering for Robust Non-line-of-Sight Scenarios

    Jun 21, 2026Nisha L. Raichur, Lucas Heublein, Dominik Seuß +2Direction-of-Arrival EstimationPhysics-Informed ML

    Fraunhofer Institute for Integrated Circuits IIS, 90411 Nürnberg, Germany · Center for Artificial Intelligence, Technical University of Applied Sciences Würzburg-Schweinfurt, Germany

  14. Physics-Informed Neural Operator for Speech Production Analysis

    Jun 21, 2026Kazuya Yokota, Xinmeng Luan, Debasish Ray Mohapatra +2Speech ProcessingPDE Operator Learning

    Department of Mechanical Engineering, Nagaoka University of Technology, Japan · Schulich School of Music, McGill University, Canada · Department of Electrical and Computer Engineering, University of British Columbia, Canada

  15. Physics-Preserving Latent Compression for Zero-Shot Resolution Transfer in 3D Turbulence

    Jun 19, 2026Yilong Dai, Yiming Sun, Yiheng Chen +4Variational AutoencodersPhysics-Informed ML

    The University of Alabama · University of Pittsburgh · University of Maryland, College Park

  16. Physics-Informed Neural Networks for Computing the Morse Index of the Critical Catenoid

    Jun 19, 2026Miraj SamarakkodyPhysics-Informed ML

  17. Orthogonal Discrepancy Kernels for Learning with Partial Physics

    Jun 19, 2026Swapnil Manna, Timothy J. Rogers, Lawrence BullSemiparametric InferenceNonlinear System Identification

    IISER Pune, India · University of Sheffield, UK · University of Glasgow, UK

  18. Physics-Guided Fully Convolutional Spatiotemporal Learning Toward Digital-Twin-Enabled Microstructure Evolution Prediction

    Jun 18, 2026Michael Trimboli, Wenxi Liu, Xianqi LiNeural Surrogate ModelingMaterials Science

    Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL, 32901, USA

  19. Evolutionary Two-Stage Hyperparameter Optimization Strategies for Physics-Informed Neural Networks

    Jun 18, 2026Fedor Buzaev, Dmitry Efremenko, Egor Bugaev +4Multi-Fidelity OptimizationEvolutionary Optimization

    HSE University · 1HSE University · AXXX +1

  20. Quantum-classical physics-informed Kolmogorov-Arnold networks for PDEs

    Jun 18, 2026Xiang Rao, Yuxuan ShenPDE SolvingHybrid Quantum-Classical ML

    1. School of Petroleum Engineering, Yangtze University, Wuhan 430100, China · 2. School of Computer Science, Yangtze University, Jingzhou 434023, China · 3. State Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization (Yangtze University), Wuhan 430100, China +2

  21. Modularity-Free Conflict-Averse Training for Generalized PINNs

    Jun 18, 2026Heejo Kong, Beomchul Park, Sung-Jin Kim +1Neural PDE SolversGradient Interference

    Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea · Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea

  22. Physics-Informed Neural Network with Squeeze-Excitation-like Attention

    Jun 18, 2026Yun-Fei Song, Long-Gang Pang, Fu-Peng Li +1Neural PDE SolversPhysics-Informed ML

    Key Laboratory of Quark and Lepton Physics (MOE) & Institute of Particle Physics, Central China Normal University, Wuhan 430079, China · Artificial Intelligence and Computational Physics Research Center, Central China Normal University, Wuhan 430079, China · Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) & Institute of Modern Physics, Fudan University, Shanghai 200433, China +2

  23. Learning universal approximations for partial differential equations with Physics-Informed Broad Learning System

    Jun 18, 2026Zhiwen Yu, Derong Yang, Liujian Zhang +5PDE SolvingUniversal Approximation

    School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China · Peng Cheng Laboratory, Shenzhen 518000, China · School of Future Technology, South China University of Technology, Guangzhou 510006, China +2

  24. Advances in Scientific Machine Learning for Coupled Fluid Flow and Transport

    Jun 17, 2026Gabriel F. Barros, Rômulo M. Silva, Alvaro L. G. A. CoutinhoPDE Surrogate ModelingReduced-Order Modeling

    COPPE −Federal University of Rio de Janeiro - UFRJ, Rio de Janeiro, Brazil

  25. P-K-GCN: Physics-augmented Koopman-enhanced Graph Convolutional Network for Deep Spatiotemporal Super-resolution

    Jun 17, 2026Xizhuo, Zhang, Zekai Wang +2Physics-Informed MLSpatiotemporal GNNs

    Cici · Department of Industrial & Systems Engineering, The University of Tennessee, Knoxville, TN, USA, 37996 · Charles F. Dolan School of Business, Fairfield University, Fairfield, USA +1

  26. Trainable Photonic Measurement for Physics-Informed PDE Learning

    Jun 17, 2026Jiale Linghu, Hao Dong, Yangshuai WangNeural PDE SolversQuantum Machine Learning

    School of Mathematics and Statistics, Xidian University, Xi’an, Shaanxi, 710071, China. · Department of Mathematics, Faculty of Science, National University of Singapore, Singapore, 119077, Singapore.

  27. A Convex Quasilinearization Method for Solving Nonlinear PDEs with Physics-Informed Neural Networks

    Jun 16, 2026Gbenga T. Awojinrin, Abdul-Akeem Olawoyin, Rami M. YounisPDE SolvingPhysics-Informed ML

    Texas A&M University, College Station, Texas, U.S.A.

  28. INI-VPINN: A Variational Physics-Informed Neural Network with Implicit Neumann and Interface Handling for Multi-Material Domains with Geometric Singularities

    Jun 16, 2026Shayan Dodge, Alessandro Formisano, Sami BarmadaNeural PDE SolversPDE Solving

    DESTeC, University of Pisa, Pisa, Italy · DESTeC University of Pisa Pisa, Italy · Department of Engineering, University of Campania Luigi Vanvitelli, Aversa, Italy +1

  29. Physics-Constrained Neural Networks for Improved Short-Term Weather Forecasting: A Case Study over the South Pacific

    Jun 16, 2026Egor Bugaev, Fedor Buzaev, Dmitry Efremenko +2Physics-Informed MLWeather Forecasting

    Faculty of Computer Science Higher School of Economics Moscow, Russia

  30. Physics-Informed Attention Mechanism and Generalization Capability of Deep Learning-Based Grain Growth Evolution Prediction

    Jun 15, 2026Pungponhavoan Tep, Marc BernackiOOD GeneralizationPhysics-Informed ML

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