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  • Loss Jump During Loss Switch in Solving PDEs with Neural Networks

    Zhiwei Wang, Lulu Zhang, Zhongwang Zhang, Zhi-Qin John Xu
    2024-10-29
    DOI:10.4208/cicp.OA-2024-0096
    17522 1208 pp. 1090-1112
  • Generalized Lagrangian Neural Networks

    Shanshan Xiao, Jiawei Zhang, Yifa Tang
    2026-01-15
    DOI:10.4208/cicp.OA-2024-0052
    3372 511 pp. 59-77
  • Better Approximations of High Dimensional Smooth Functions by Deep Neural Networks with Rectified Power Units

    Bo Li, Shanshan Tang, Haijun Yu
    2019-12-07
    DOI:10.4208/cicp.OA-2019-0168
    52032 3444 pp. 379-411
  • Generalization Error Analysis of Neural Networks with Gradient Based Regularization

    Lingfeng Li, Xue-Cheng Tai, Jiang Yang
    2022-10-28
    DOI:10.4208/cicp.OA-2021-0211
    45822 3323 pp. 1007-1038
  • Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws

    Taeyoung Kim, Myungjoo Kang
    2025-09-02
    DOI:10.4208/cicp.OA-2024-0123
    12321 905 pp. 420-456
  • Convergence of Physics-Informed Neural Networks Applied to Linear Second-Order Elliptic Interface Problems

    Sidi Wu, Aiqing Zhu, Yifa Tang, Benzhuo Lu
    2023-03-13
    DOI:10.4208/cicp.OA-2022-0218
    41082 3304 pp. 596-627
  • 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
    DOI:10.4208/cicp.OA-2024-0131
    10784 686 pp. 603-622
  • On the Convergence of Physics Informed Neural Networks for Linear Second-Order Elliptic and Parabolic Type PDEs

    Yeonjong Shin, Jérôme Darbon, George Em Karniadakis
    2020-11-18
    DOI:10.4208/cicp.OA-2020-0193
    89565 4614 pp. 2042-2074
  • A Neural Network Approach to Sampling Based Learning Control for Quantum System with Uncertainty

    Jingshi Li, Song Chen, Yanzhao Cao, Zhao Sun
    2021-10-26
    DOI:10.4208/cicp.OA-2020-0182
    47322 3405 pp. 1453-1473
  • Frame Invariance and Scalability of Neural Operators for Partial Differential Equations

    Muhammad I. Zafar, Jiequn Han, Xu-Hui Zhou, Heng Xiao
    2022-08-11
    DOI:10.4208/cicp.OA-2021-0256
    303899 3517 pp. 336-363
  • A Mixed Wavelet-Learning Method of Predicting Macroscopic Effective Heat Transfer Conductivities of Braided Composite Materials

    Hao Dong, Wenbo Kou, Junyan Han, Jiale Linghu, Minqiang Zou, Junzhi Cui
    2022-01-27
    DOI:10.4208/cicp.OA-2021-0110
    43172 3277 pp. 593-625
  • Two-Scale Neural Networks for Partial Differential Equations with Small Parameters

    Qiao Zhuang, Chris Ziyi Yao, Zhongqiang Zhang, George Em Karniadakis
    2025-08-23
    DOI:10.4208/cicp.OA-2024-0040
    6671 631 pp. 603-629
  • Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part I: 1D Problems

    Haoxiang Huang, Vigor Yang, Yingjie Liu
    2023-09-04
    DOI:10.4208/cicp.OA-2022-0285
    35668 2891 pp. 290-317
  • Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks

    Yingzhou Li, Xiuyuan Cheng, Jianfeng Lu
    2020-11-18
    DOI:10.4208/cicp.OA-2020-0214
    63895 3512 pp. 1838-1885
  • A Rate of Convergence of Physics Informed Neural Networks for the Linear Second Order Elliptic PDEs

    Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Fengru Wang, Yang Wang, Jerry Zhijian Yang
    2022-03-30
    DOI:10.4208/cicp.OA-2021-0186
    52182 3175 pp. 1272-1295
  • Physics-Driven Learning of the Steady Navier-Stokes Equations Using Deep Convolutional Neural Networks

    Hao Ma, Yuxuan Zhang, Nils Thuerey, Xiangyu Hu, Oskar J. Haidn
    2022-09-29
    DOI:10.4208/cicp.OA-2021-0146
    42895 3385 pp. 715-736
  • 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
    DOI:10.4208/cicp.OA-2024-0201
    170 55 pp. 1-26
  • 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
    DOI:10.4208/cicp.OA-2020-0164
    151550 6990 pp. 2002-2041
  • Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part II: 2D Problems

    Haoxiang Huang, Vigor Yang, Yingjie Liu
    2023-11-08
    DOI:10.4208/cicp.OA-2023-0026
    77238 3710 pp. 907-933
  • An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems

    Liang Yan, Tao Zhou
    2020-11-18
    DOI:10.4208/cicp.OA-2020-0186
    67487 3473 pp. 2180-2205
  • Solving Allen-Cahn and Cahn-Hilliard Equations Using the Adaptive Physics Informed Neural Networks

    Colby L. Wight, Jia Zhao
    2021-01-13
    DOI:10.4208/cicp.OA-2020-0086
    59575 3990 pp. 930-954
  • Scale-Decomposed Physics-Informed Neural Networks for Singular Perturbation Problems

    Lei Zhang, Guowei He
    2026-01-18
    DOI:10.4208/cicp.OA-2024-0149
    1056 238 pp. 1267-1298
  • A Model-Data Asymptotic-Preserving Neural Network Method Based on Micro-Macro Decomposition for Gray Radiative Transfer Equations

    Hongyan Li, Song Jiang, Wenjun Sun, Liwei Xu, Guanyu Zhou
    2024-06-14
    DOI:10.4208/cicp.OA-2022-0315
    36826 1981 pp. 1155-1193
  • Adaptive Neural Network Basis Methods for Partial Differential Equations with Low-Regular Solutions

    Jianguo Huang, Haohao Wu, Tao Zhou
    2026-02-15
    DOI:10.4208/cicp.OA-2024-0310
    4085 195 pp. 553-577
  • Learning Invariant Representation of Multiscale Hyperelastic Constitutive Law from Sparse Experimental Data

    Rui He, Junzhi Cui, Zihao Yang, Jieqiong Zhang, Xiaofei Guan
    2023-09-04
    DOI:10.4208/cicp.OA-2023-0098
    34260 2839 pp. 392-417
  • Asymptotic-Preserving Neural Networks for Multiscale Kinetic Equations

    Shi Jin, Zheng Ma, Keke Wu
    2024-04-10
    DOI:10.4208/cicp.OA-2023-0211
    25513 2191 pp. 693-723
  • A Neural Particle Method with Interface Tracking and Adaptive Particle Refinement for Free Surface Flows

    Pei-Hsin Pai, Heng-Chuan Kan, Hock-Kiet Wong, Yih-Chin Tai
    2024-10-29
    DOI:10.4208/cicp.OA-2023-0235
    17866 1218 pp. 1021-1052
1 - 27 of 72 items
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