报告题目：Solving differential equations using neural networks

报 告 人：金邦梯

报告时间：2026年5月22日  10:00-11:00

报告地点：格物楼302

报告摘要：

Solving partial differential equations using neural networks has received a lot of recent attention, due to its tremendous potential in the high-dimensional case. In this talk, I shall present our recent efforts for several classes of boundary value problems that may contain singularities or non-self adjoint operators. I will present the numerical algorithms, discuss the convergence analysis issue, and illustrate the algorithms with numerical experiments.

报告人简介：

Bangti Jin is a Chair Professor at the Chinese University of Hong Kong, and Global STEM scholar of Hong Kong SAR. His research interests include inverse problems, numerical analysis and machine learning. He was selected as a Highly Cited Researcher by Clarivate Analytics in 2022 and 2025, and received ICCM Silver Medal in Mathematics in 2025.