报告题目：Dynamics and Algorithms for Saddle Points in Transition-State Calculations

报告人：周翔，香港城市大学

报告时间：2026/10/30 10:00-12:00

报告摘要：This talk reviews algorithms for computing saddle points on potential energy surfaces, which serve as transition states for overdamped Langevin dynamics in the small-noise limit. We will cover continuous-time formulations, iterative optimization schemes, and Gaussian process regression approaches for estimating free energies, along with representative applications.

报告人简介：Dr. Xiang Zhou is an Associate Professor in the Department of Mathematics at City University of Hong Kong. Prior to joining CityU in 2012, he was a Research Associate at Princeton University and Brown University. His research focuses on rare events and the development of computational methods for stochastic models and machine-learning algorithms. His work includes transitions in nonlinear stochastic dynamical systems, stochastic simulation, transition-state/saddle-point computations, and the exploration of high-dimensional, nonconvex energy landscapes.

会议方式：线上，腾讯会议：903-506-094

邀请人：郑祥成 研究员