activity
20092026
most citedEnergy-conserving discontinuous Galerkin methods for the Vlasov-Ampère system

78 citations · 426 across the 35 of their papers we have counts for

collaborators

37 papers

math.NA2026

A fast scheme for the homogeneous Boltzmann equation based on lifting and tensor train approximation

Kun Huang, Yingda Cheng, Irene M. Gamba

We propose a fast deterministic scheme for the space-homogeneous Boltzmann equation that exploits the low-rank structure of the velocity distribution. This paper consists of two in…

math.NA2022

A micro-macro decomposed reduced basis method for the time-dependent radiative transfer equation

Zhichao Peng, Yanlai Chen, Yingda Cheng +1

Kinetic transport equations are notoriously difficult to simulate because of their complex multiscale behaviors and the need to numerically resolve a high dimensional probability d…

math.NA2022

Adaptive sparse grid discontinuous Galerkin method: review and software implementation

Juntao Huang, Wei Guo, Yingda Cheng

This paper reviews the adaptive sparse grid discontinuous Galerkin (aSG-DG) method for computing high dimensional partial differential equations (PDEs) and its software implementat…

math.NA2022

Superconvergence and accuracy enhancement of discontinuous Galerkin solutions for Vlasov-Maxwell equations

Andrés Galindo-Olarte, Juntao Huang, Jennifer K. Ryan +1

This paper considers the discontinuous Galerkin (DG) methods for solving the Vlasov-Maxwell (VM) system, a fundamental model for collisionless magnetized plasma. The DG methods pro…

math.NA2021★ 2 cited

Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds

Juntao Huang, Yingda Cheng, Andrew J. Christlieb +1

This is the third paper in a series in which we develop machine learning (ML) moment closure models for the radiative transfer equation (RTE). In our previous work \cite{huang2021g…

math.NA2021

Machine learning moment closure models for the radiative transfer equation II: enforcing global hyperbolicity in gradient based closures

Juntao Huang, Yingda Cheng, Andrew J. Christlieb +2

This is the second paper in a series in which we develop machine learning (ML) moment closure models for the radiative transfer equation (RTE). In our previous work \cite{huang2021…