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Vol. 34 (2023), Issue 4

Vol. 34 (2023), Issue 4

Journal Issue

Year:    2023

Communications in Computational Physics, Vol. 34 (2023)

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Learning Specialized Activation Functions for Physics-Informed Neural Networks

Journal Article

Learning Specialized Activation Functions for Physics-Informed Neural Networks

Communications in Computational Physics, Vol. 34 (2023), Iss. 4 : pp. 869–906

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

Journal Article

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

Communications in Computational Physics, Vol. 34 (2023), Iss. 4 : pp. 907–933

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A Variational Neural Network Approach for Glacier Modelling with Nonlinear Rheology

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A Variational Neural Network Approach for Glacier Modelling with Nonlinear Rheology

Communications in Computational Physics, Vol. 34 (2023), Iss. 4 : pp. 934–954

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

Journal Article

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

Communications in Computational Physics, Vol. 34 (2023), Iss. 4 : pp. 955–992

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

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

Communications in Computational Physics, Vol. 34 (2023), Iss. 4 : pp. 993–1042

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

Journal Article

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

Communications in Computational Physics, Vol. 34 (2023), Iss. 4 : pp. 1043–1078

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

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

Communications in Computational Physics, Vol. 34 (2023), Iss. 4 : pp. 1079–1132

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Bi-Orthogonal fPINN: A Physics-Informed Neural Network Method for Solving Time-Dependent Stochastic Fractional PDEs

Journal Article

Bi-Orthogonal fPINN: A Physics-Informed Neural Network Method for Solving Time-Dependent Stochastic Fractional PDEs

Communications in Computational Physics, Vol. 34 (2023), Iss. 4 : pp. 1133–1176

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