天元东北中心有限元主题系列报告|Multiscale Model Reduction for Heterogeneous Problems
报 告 人: Dr. Guanglian Li
所在单位: 香港大学
报告地点: 腾讯会议
报告时间: 2020-09-13 11:00:00
报告简介:

腾讯会议ID:148 151 849


Heterogeneous problems with high contrast, multiscale and possibly also random coefficients arise frequently in practice, e.g., reservoir simulation and material sciences. However, due to the disparity of scales, their efficient and accurate simulation is notorious challenging. First, I will describe some important applications, and review several state-of-the-art multiscale model reduction algorithms, especially the Generalized Multiscale Finite Element Method (GMsFEM). Then I will describe recent efforts on developing a mathematical theory for GMsFEM, and ongoing works on algorithmic developments and novel applications.


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主讲人简介:
Dr. Li Guanglian is currently an assistant professor in the Department of Mathematics, the University of Hong Kong. Her research lies in numerical analysis and scientific computing in a broad sense. Particularly, she is interested in multiscale modeling and analysis, and high-dimensional approximation, with many practical applications, including porous media, reservoir simulation, metamaterial and uncertainty quantification.