Articles

• Learning Specialized Activation Functions for Physics-Informed Neural Networks

  Honghui Wang, Lu Lu, Shiji Song, Gao Huang

  869-906

  https://doi.org/10.4208/cicp.OA-2023-0058

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  34356 2779

• Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part II: 2D Problems

  Haoxiang Huang, Vigor Yang, Yingjie Liu

  907-933

  https://doi.org/10.4208/cicp.OA-2023-0026

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  76941 3630

• A Variational Neural Network Approach for Glacier Modelling with Nonlinear Rheology

  Tiangang Cui, Zhongjian Wang, Zhiwen Zhang

  934-954

  https://doi.org/10.4208/cicp.OA-2022-0272

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  30730 2548

• Genuinely Multidimensional Physical-Constraints-Preserving Finite Volume Schemes for the Special Relativistic Hydrodynamics

  Dan Ling, Huazhong Tang

  955-992

  https://doi.org/10.4208/cicp.OA-2023-0065

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  31034 2625

• Flux Globalization Based Well-Balanced Path-Conservative Central-Upwind Scheme for the Thermal Rotating Shallow Water Equations

  Yangyang Cao, Alexander Kurganov, Yongle Liu

  993-1042

  https://doi.org/10.4208/cicp.OA-2023-0132

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  30455 2555

• High-Order Low-Dissipation Shock-Resolving TENO-THINC Schemes for Hyperbolic Conservation Laws

  Shinichi Takagi, Hiro Wakimura, Lin Fu, Feng Xiao

  1043-1078

  https://doi.org/10.4208/cicp.OA-2023-0061

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  31296 2653

• An Accurate and Scalable Direction-Splitting Solver for Flows Laden with Non-Spherical Rigid Bodies – Part 1: Fixed Rigid Bodies

  Aashish Goyal, Anthony Wachs

  1079-1132

  https://doi.org/10.4208/cicp.OA-2023-0176

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  31551 2568

• 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

  1133-1176

  https://doi.org/10.4208/cicp.OA-2023-0075

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  31680 2664