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  • Deep Learning-Based Computational Method for Soft Matter Dynamics: Deep Onsager-Machlup Method

    Zhihao Li, Boyi Zou, Haiqin Wang, Jian Su, Dong Wang, Xinpeng Xu
    2025-09-02
    11749 752 Pages:353-382
  • An Augmented Lagrangian Deep Learning Method for Variational Problems with Essential Boundary Conditions

    Jianguo Huang, Haoqin Wang, Tao Zhou
    2022-03-03
    50575 3314 Pages:966-986
  • Accurate Adaptive Deep Learning Method for Solving Elliptic Problems

    Jinyong Ying, Yaqi Xie, Jiao Li, Hongqiao Wang
    2025-09-02
    10230 558 Pages:849-876
  • Newton’s Method and Its Hybrid with Machine Learning for Navier-Stokes Darcy Models Discretized by Mixed Element Methods

    Jianguo Huang, Hui Peng, Haohao Wu
    2025-01-22
    15867 892 Pages:30-60
  • Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions

    Yulei Liao, Pingbing Ming
    2021-03-24
    53300 3485 Pages:1365-1384
  • Generalization Error in the Deep Ritz Method with Smooth Activation Functions

    Janne Siipola
    2024-04-10
    24248 2315 Pages:761-815 Open-access
  • 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
    31843 2797 Pages:1133-1176
  • DL-PDE: Deep-Learning Based Data-Driven Discovery of Partial Differential Equations from Discrete and Noisy Data

    Hao Xu, Haibin Chang, Dongxiao Zhang
    2021-01-13
    55176 3525 Pages:698-728
  • Convergence Rate Analysis for Deep Ritz Method

    Chenguang Duan, Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Jerry Zhijian Yang
    2022-03-30
    58970 3389 Pages:1020-1048
  • Data Generation-Based Operator Learning for Solving Partial Differential Equations on Unbounded Domains

    Jihong Wang, Xin Wang, Jing Li, Bin Liu
    2025-05-29
    8885 481 Pages:1383-1416
  • A Variational Neural Network Approach for Glacier Modelling with Nonlinear Rheology

    Tiangang Cui, Zhongjian Wang, Zhiwen Zhang
    2023-11-08
    30842 2583 Pages:934-954
  • Deep Unfitted Nitsche Method for Elliptic Interface Problems

    Hailong Guo, Xu Yang
    2022-03-30
    52625 3284 Pages:1162-1179
  • Local Discontinuous Galerkin Method for Nonlinear BSPDEs of Neumann Boundary Conditions with Deep Backward Dynamic Programming Time-Marching

    Yixiang Dai, Yunzhang Li, Jing Zhang
    2026-01-18
    237 46 Pages:1299-1331
  • VPVnet: A Velocity-Pressure-Vorticity Neural Network Method for the Stokes’ Equations under Reduced Regularity

    Yujie Liu, Chao Yang
    2022-03-03
    45524 3235 Pages:739-770
  • 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
    149394 6595 Pages:2002-2041
  • Numerical Simulations for Full History Recursive Multilevel Picard Approximations for Systems of High-Dimensional Partial Differential Equations

    Sebastian Becker, Ramon Braunwarth, Martin Hutzenthaler, Arnulf Jentzen, Philippe von Wurstemberger
    2020-11-18
    64386 3357 Pages:2109-2138
  • Incorporating the Maximum Entropy on the Mean Framework with Kernel Error for Robust Non-Blind Image Deblurring

    Hok Shing Wong, Hao Zhang, Lihua Li, Tieyong Zeng, Yingying Fang
    2022-03-03
    44661 3287 Pages:893-912
1 - 17 of 17 items
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