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  • Scale-Decomposed Physics-Informed Neural Networks for Singular Perturbation Problems

    Lei Zhang, Guowei He
    2026-01-18
    991 221 Pages:1267-1298
  • Solving Allen-Cahn and Cahn-Hilliard Equations Using the Adaptive Physics Informed Neural Networks

    Colby L. Wight, Jia Zhao
    2021-01-13
    59545 3983 Pages:930-954
  • Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations

    Ameya D. Jagtap, George Em Karniadakis
    2020-11-18
    151264 6957 Pages:2002-2041
  • Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Lévy Equations

    Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi
    2026-04-10
    16 9 Pages:1-26
  • A Conservative and Positivity-Preserving Method for Solving Anisotropic Diffusion Equations with Deep Learning

    Hui Xie, Li Liu, Chuanlei Zhai, Xuejun Xu, Heng Yong
    2024-03-13
    26429 2324 Pages:467-497
  • High Order Deep Neural Network for Solving High Frequency Partial Differential Equations

    Zhipeng Chang, Ke Li, Xiufen Zou, Xueshuang Xiang
    2022-01-27
    46266 3535 Pages:370-397
  • Adaptive Basis-Inspired Deep Neural Network for Solving Partial Differential Equations with Localized Features

    Ke Li, Yaqin Zhang, Yunqing Huang, Chenyue Xie, Xueshuang Xiang
    2025-09-18
    4554 375 Pages:1453-1497
  • Adaptive Interface-PINNs (AdaI-PINNs): An Efficient Physics-Informed Neural Networks Framework for Interface Problems

    Sumanta Roy, Chandrasekhar Annavarapu, Pratanu Roy, Antareep Kumar Sarma
    2025-09-02
    10770 680 Pages:603-622
  • Splitting Physics-Informed Neural Networks for Inferring the Dynamics of Integer- and Fractional-Order Neuron Models

    Simin Shekarpaz, Fanhai Zeng, George Karniadakis
    2024-01-31
    29895 2817 Pages:1-37
  • Bi-Orthogonal fPINN: A Physics-Informed Neural Network Method for Solving Time-Dependent Stochastic Fractional PDEs

    Lei Ma, Rongxin Li, Fanhai Zeng, Ling Guo, George Em Karniadakis
    2023-11-08
    32024 2860 Pages:1133-1176
  • Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning

    Yufei Wang, Ziju Shen, Zichao Long, Bin Dong
    2020-11-18
    62653 3497 Pages:2158-2179
1 - 11 of 11 items
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