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Learning Specialized Activation Functions for Physics-Informed Neural Networks
Communications in Computationl 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
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A Variational Neural Network Approach for Glacier Modelling with Nonlinear Rheology
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Genuinely Multidimensional Physical-Constraints-Preserving Finite Volume Schemes for the Special Relativistic Hydrodynamics
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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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High-Order Low-Dissipation Shock-Resolving TENO-THINC Schemes for Hyperbolic Conservation Laws
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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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Bi-Orthogonal fPINN: A Physics-Informed Neural Network Method for Solving Time-Dependent Stochastic Fractional PDEs
Communications in Computationl Physics, Vol. 34 (2023), Iss. 4 : pp. 1133–1176