报告人：丁剑
报告地点：图书馆二楼报告厅
报告时间：2025年04月02日星期三14:00-15:30
邀请人：数学与统计学院
报告摘要：
I will describe various percolation models in statistical physics, with emphasis on phase transition, critical phenomenon as well as disorder effects. In particular, I will start my talk with Bernoulli percolation, and then present a few important examples of correlated percolation models. While I try to be a ``messenger'' communicating progress accomplished in the community as a whole, the talk is inevitably biased by my personal interests (for instance, I will spend some time surveying recent progress on the random field Ising model and Gaussian free field related percolation models).
主讲人简介：
Professor Jian Ding received his B.S. from Peking University in 2006 and his Ph.D. from The University of California, Berkeley, in 2011. He has been a postdoc at Stanford and a faculty member at the University of Chicago and the University of Pennsylvania. Jian Ding is currently a chair professor at Peking University. Ding works on probability theory, emphasizing its interactions with statistical physics, theoretical computer science, and statistical learning theory. He is also interested in probability questions arising from "application-oriented" problems. With various coauthors, he has contributed to topics including random constraint satisfaction problems, random planar geometry, random field Ising models, random walks in random environments, and random Schrödinger operators. Ding has received a few recognitions, including the ICM invited lecture (2022), the Xplorer Prize (2023), the Rollo Davidson prize (2017), the ICCM gold medal (2022), and the Loève Prize (2023).
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