杏吧传媒 数学大讲坛第一期

第七讲——哈尔滨工业大学曾少杰博士学术报告

题目：Several deep learning solvers for partial differential equations

时间：2023年3月17日（周五）上午9:30——10:30

地点：腾讯会议（会议ID：113991455）

报告人：曾少杰 博士

摘要：In this talk, we introduce several novel deep learning solvers for partial differential equations (PDEs). We conduct a series of numerical experiments with high-dimensional PDEs and low-dimensional corner singularity problems to examine the performance of our proposed algorithms. Numerical results show that our methods can markedly improve the computational accuracy and accelerate the convergence speed in comparison to several previous state-of-the-art approaches.

报告人简介：

曾少杰，博士毕业于中山大学，现为哈尔滨工业大学（深圳）博士后。研究方向为深度学习与偏微分方程数值解，相关成果发表在Journal of Computational Physics等期刊上。