Department of Mathematics - Seminar on Applied Mathematics - An investigation on the structure-preserving deep learning methods for solving the radiative transport equations

4:00pm - 5:00pm
Room 2504 (near Lift 25/26)

In this talk, we present two schemes coupling the neural network methods and the asymptotic-preserving schemes for the solution of the radiative transport equation. The first scheme is based on a micro-macro decomposition scheme, and the second one is designed through an introduction of macroscopic auxiliary equations. The schemes possess advantages on dealing with problems with high dimensionality and multiscale characteristics. Numerical examples are given to demonstrate the efficiency of numerical methods. This is joint work with Hongyan Li, Song Jiang, Wenjun Sun and Guanyu Zhou.

Event Format
Speakers / Performers:
Prof. Liwei XU
University of Electronic Science and Technology of China
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Faculty and staff
General public
PG students
UG students
Department of Mathematics
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