摘  要：

This course reviews the publications of the recent decade on using machine learning methods in solving partial differential equations, such as Physics Informed Neural Network (PINN). The course will include the materials on direct method, inverse method, reduced order modeling, and the assimilation of various types of observational data.

预备知识：

Basic knowledge on numerical methods for partial differential equations and neural network methods

主讲人简介：

Education:

BS    Zhejiang University

MS    Peking University

PHD  MIT

Work Experience: Aerodyne Research, Earth Tech, China Zhejiang Textile Industry Group

Research Interest: Big data, AI, Numerical Modeling

Publication or Honor: PI of 14 national projects, 40+ research papers, China national specially-invited expert.