报告题目：

Stochastic Nonequilibrium Thermodynamics in Phase Space: Mathematical Theory and Its Applications

报告人:                   Prof. Hong Qian

Applied Mathematics, University of Washington (Seattle)

时间：2015年7月23日(周四)  09: 00   

地点：中国科学院力学研究所主楼344会议室

报告摘要：

Macromolecules in aqueous solution can be treated as a mechanical system with Brownian motion. I will motivate a theory of stochastic macromolecular mechanics (SM3) based on polymer physics, and recent experimental work using AFM (atomic force microscopy) measuing non-covalent association force between molecules, and the chemomechanics of molecular motors. The latter system is not in a state of equilibrium, but rather in a thermodynamic nonequilibrium steady state. This dynamic theory, based on a Markov description in a phase space, gives rise to a novel, mesoscopic nonequilibrium thermodynamics in phase space. I shall introduce this theory, illustrate its relationship to the classical nonequilibrium thermodynamics (de Groot-Mazur), and then show several applications to chemistry and biochemistry.

报告人简介：

Hong Qian received his B.S. degree in astrophysics from Peking University. He worked on fluorescence correlation spectroscopy (FCS) and single-particle tracking (SPT) and obtained his Ph.D. degree in biochemistry from Washington University (St. Louis). His research interests turned to theoretical biophysical chemistry and mathematical biology when he was a postdoctoral fellow at the University of Oregon and at the California Institute of Technology. In that period of time, he worked on protein folding and fluctuations. Between 1994 and 1997, he was with the Department of Biomathematics at the UCLA School of Medicine, where he worked on the theory of motor proteins and single-molecule biophysics. This work led to his current interest in mesoscopic open chemical systems. He joined the University of Washington (Seattle) in 1997 and is now professor of applied mathematics, and an adjunct professor of bioengineering. He is a fellow of the American Physical Society, and served and serves on the editorial boards of journals on computational and systems biology. His current research is in stochastic analysis and statistical physics of cellular systems.

His book "Chemical Biophysics: Quantitative Analysis of Cellular Systems", co-authored with Daniel A. Beard, has been published by the Cambridge University Press.