天元名家讲座 | A glimpse at statistical physics from percolation
报 告 人: 丁剑 教授
所在单位: 北京大学
报告地点: 吉林大学正新楼209
报告时间: 2025-01-13 14:00:00
报告简介:

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).



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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. In prestigious mathematical journals like The Annals of Mathematics, Inventions Mathematicae, Acta Mathematica, Duke Math. J., and Comm. Pure Appl. Math., Ding has published more than ten articles. Moreover, Ding has received a few recognitions, including a Sloan Fellowship (2015), Rollo Davidson Prize (2017), ICM invited lecture (2022), ICCM gold medal (2022), Xplorer Prize (2023), the Loève Prize (2024), ICMP plenary lecture (2024).