报告人任维清(新加坡国立大学 教授)

报告时间:2024年10月31日(周四)上午10:00 -11:00

报告地点:精正楼103

Abstract:

Many problems in applied sciences can be abstractly formulated as systems navigating over complex energy landscapes. Well-known examples include conformational changes of bio-molecules, chemical reactions, nucleation events during phase transitions, and extreme events in some cases that lead to material or system failure, etc. These events  happen infrequently relative to the relaxation timescale of the system, but when they do happen, they usually happen rather quickly and have important consequences. In this talk, I will discuss numerical methods for the study of such rare events, including the string method and the recently developed machine learning techniques.

邀请人:陈旻昕