Related Experiment Video
Updated: May 29, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
Published on: April 12, 2019
Hybrid discontinuous Galerkin method for the hyperbolic linear Boltzmann transport equation for multiscale problems
Qizheng Sun1,2, Xiaojing Liu1,2, Xiang Chai1,2
1Shanghai Jiao Tong University, School of Nuclear Science and Engineering, Shanghai 200240, China.
We introduce an upwind hybrid discontinuous Galerkin (HDG) method for solving the linear Boltzmann transport equation. This new approach enhances computational efficiency and accuracy in multiscale and thick diffusive scenarios.
Area of Science:
- Computational physics
- Numerical analysis
- Transport phenomena
Background:
- The linear Boltzmann transport equation is crucial for modeling various physical phenomena.
- Existing numerical methods face challenges in efficiently handling multiscale and thick diffusive regimes.
Purpose of the Study:
- To develop a novel numerical method for the first-order hyperbolic linear Boltzmann transport equation.
- To enhance the efficiency and accuracy of simulations in complex physical scenarios.
Main Methods:
- A hybrid discontinuous Galerkin (HDG) method is proposed, utilizing primal variables and numerical traces.
- The method employs projection matrices and constructs the global matrix system from numerical traces to reduce degrees of freedom.
- An upwind sweep sequence is used for efficient solution of the resulting block-lower-triangular matrix system.
Main Results:
- The upwind-HDG method demonstrates flexibility in spatial order selection.
- Asymptotic analysis in the thick diffusion limit shows convergence is linked to the response matrix L.
- Numerical experiments confirm the accuracy and stability of the upwind-HDG method, outperforming even-parity HDG in challenging regimes.
Conclusions:
- The proposed upwind-HDG method is accurate and stable for thick diffusive and multiscale heterogeneous problems.
- The method offers significant computational advantages by reducing degrees of freedom and enabling efficient solution strategies.
- This work provides a robust numerical tool for advanced transport phenomena simulations.
More Related Videos
Related Concept Videos
Maxwell-Boltzmann Distribution: Problem Solving
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
Differential Form of Maxwell's Equations
Navier–Stokes Equations
Generalized Hooke's Law
Steady, Laminar Flow Between Parallel Plates
Electrostatic Boundary Conditions
The surface integral of an electric field is given by Gauss's law in integral form and is related to...

