报告题目：Plate Bending with Isometry Constraints: Finite Element Method vs Machine Learning
报 告 人：明平兵 研究员
报告时间：2023年4月28日（星期五）上午10:30-11:30
报告地点：藕舫楼629
报告摘要：
We study a minimization problem that arises from a plate bending model with isometry constraints. Both finite element method and machine learning oriented method are exploited to investigate the convergence of the minimizer, and to what degree the isometry constraints are met by the proposed methods. We found that FEM may have certain a-priori theoretical convergence, while machine learning method seems much more efficient in most cases under study. This is a joint work with Li Xiang and Liao Yulei.
报告人简介：
明平兵，中国科学院数学与系统科学研究院研究员，担任科学与工程计算国家重点实验室副主任。主要从事固体多尺度建模、模拟及多尺度算法的研究。他于2014年获得国家杰出青年基金。
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数学与统计学院
2023年4月24日