（北京计算科学研究中心）

Abstract: The hydrodynamic interactions among microorganisms and the surrounding boundary give rise to novel emergent behaviors at macroscopic length scales, i.e., self-organization, active turbulence, and bacterial superfluid. In this talk I present a newly proposed model that is both physically effective and computationally efficient in describing hydrodynamic interactions in active fluids. Then we show that our model is essential in predicting two well-known phenomena observed in experiments: bacterial entrapment, and enhanced motility of bacteria in suspensions of macromolecules.

报告人简介：

研究领域为软凝聚态物理，致力于探索软物质体系丰富的结构、性质背后的统计物理基本规律。于2002年在清华大学物理系获得学士学位，2007年在芝加哥大学物理系获得博士学位。随后在麻省理工学院进行博士后工作。自2014年在北京计算科学研究中心工作，主要研究体系包括活性体系、胶体体系以及DNA有效模型的建立。

邀请人：彭毅（82649548）