时间：1月17日（周三） 上午 10：00

地点：勤园20-518

报告摘要：

The numerical algorithms are categorized into three: a. the existing simulation techniques have to be extended to perform such simulations. b. or complex systems it is often necessary to used coarse-grained models that are computationally cheap c. Prediction/Interperation new phenonomen and new physics. In this context, we looked at:

  1.Computation of transport properties of complex molecular gases (category a). This is a very old problem dating back to Boltzmann and Chapman & Enskog. Surprisingly, these computational techniques had never been developed.

  2.Development of a cheap and robust model potential for

coarse-graining that does not suffer from the computational drawback of the widely used Lennard-Jones potential (category b)

  3.Techniques to studies coupled transport (such as diffusio-osmosis) in driven non-equilibrium systems (category a).

  4.Techniques to study sub-threshold transients in epidemics (a prototypical non-Boltzmann problem) (category a).

  5.we predict new brand wetting phenomen, Pre-solid-solid transition, and interprete the unusual behavior of hard sphere galss (category c).

报告人简介：

王锡朋2015年于中国科学技术大学获得博士学位，并获得中国科学院院长优秀奖，随后先后在香港科技大学，剑桥大学等著名机构从事博士后研究。王锡朋博士主要从事计算软凝聚态物理的研究工作，具体研究方向包括玻璃化转变，固固转变，统计物理以及数值算法方面的研究，以第一作者发表Nature Physics 1篇，PRL 2篇。主持国家自然科学基金青年基金1项。