A learned conservative semi-Lagrangian finite volume scheme for transport simulations

Y Chen, W Guo, X Zhong - Journal of Computational Physics, 2023 - Elsevier
Semi-Lagrangian (SL) schemes are known as a major numerical tool for solving transport
equations with many advantages and have been widely deployed in the fields of …

A Multifidelity Machine Learning Based Semi-Lagrangian Finite Volume Scheme for Linear Transport Equations and the Nonlinear Vlasov–Poisson System

Y Chen, W Guo, X Zhong - Multiscale Modeling & Simulation, 2024 - SIAM
Machine-learning (ML) based discretization has been developed to simulate complex partial
differential equations (PDEs) with tremendous success across various fields. These learned …

[HTML][HTML] Numerical adiabatic perturbation theory for the absolute| K|(p, p) equation

R Garralon-López, F Rus, FR Villatoro - Mathematics and Computers in …, 2024 - Elsevier
In physical applications, the absolute| K|(p, p) equation should be preferred to the widely
used Rosenau–Hyman K (p, p) equation due to the robustness of its compactons and …

Conservative semi-lagrangian finite difference scheme for transport simulations using graph neural networks

Y Chen, W Guo, X Zhong - arXiv preprint arXiv:2405.01938, 2024 - arxiv.org
Semi-Lagrangian (SL) schemes are highly efficient for simulating transport equations and
are widely used across various applications. Despite their success, designing genuinely …

Numerical adiabatic perturbation theory for the absolute equation

R Garralon-López, FA Rus-Mansilla… - 2024 - riuma.uma.es
In physical applications, the absolute equation should be preferred to the widely used
Rosenau–Hyman equation due to the robustness of its compactons and anticompactons …