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  • Do Current Lattice Boltzmann Methods for Diffusion and Advection-Diffusion Equations Respect Maximum Principle and the Non-Negative Constraint?

    S. Karimi & K. B. Nakshatrala
    2018-04-04
    39611 3172 Pages:374-404
  • Time Integration Schemes Based on Neural Networks for Solving Partial Differential Equations on Coarse Grids

    Xinxin Yan, Zhideng Zhou, Xiaohan Cheng, Xiaolei Yang
    2024-12-02
    201 54 Pages:1262-1306
  • Higher Order Accurate Bounds Preserving Time-Implicit Discretizations for the Chemically Reactive Euler Equations

    Fengna Yan, J. J. W. Van der Vegt, Yinhua Xia, Yan Xu
    2025-09-05
    3374 299 Pages:1017-1052
  • A Modeling Framework for Coupling Plasticity with Species Diffusion

    M. S. Joshaghani, K. B. Nakshatrala
    2022-07-06
    43677 3595 Pages:83-125
  • MHDnet: Physics-Preserving Learning for Solving Magnetohydrodynamics Problems

    Xiaofei Guan, Boya Hu, Shipeng Mao, Xintong Wang, Zihao Yang
    2024-10-29
    147 68 Pages:943-976
  • 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
    31686 2665 Pages:1133-1176
  • A CFD-Aided Galerkin Method for Global Linear Instability Analysis

    Shengqi Zhang, Zhenhua Xia, Shiyi Chen
    2020-11-26
    45874 4526 Pages:128-147
  • A Distributed Optimal Control Problem with Averaged Stochastic Gradient Descent

    Qi Sun, Qiang Du
    2020-07-30
    46516 3703 Pages:753-774
1 - 8 of 8 items
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