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【数学之美-杰出学者讲坛】2024年第3期 ||Optimal transport and Monge-Ampere equ...
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清华大学材料科学与工程研究院《材料科学论坛》:机器学习辅助合金理性设计
报告题目:
From complex networks to soft matter
 报告人:
Prof. Hernan Makse
Levich Institute and Department of Physics, City College of New York
报告时间:
2019-11-22 14:00
报告地点:
能动系系馆第一会议室
主办单位:
能动系
  简介:

摘要:

Random packings of objects of a particular shape are ubiquitous in science and engineering. Here we present a framework to calculate the volume fraction, force distribution, coordination number and yield stress and dissipation for a system of arbitrary shaped particles formed by intersection and union of spherical particles. The framework allows for the exploration of the large space of particle shapes in search of the perfect packing. Novel experimental techniques will be also discussed to test the predictions at the colloidal level. We also introduce a novel way to look at the network of contacts based on k-core percolation, a concept that has been introduced in social sciences to understand stability of networks.

 

报告人简介:

学术经历:

1987-1991     Universidad de Buenos Aires      Master in Physics

1991-1996     Boston University              Ph.D. in Physics

1996-1997     Cavendish Lab, Cambridge University  Postdoctoral

            College de France, Paris         Postdoctoral

1997-2000     Schulumbeger, Ridgefield, CT       Postdoctoral

 

工作经历:

2000-2004     City College of New York, NY

            Assistant Professor, Levich Institute and Department of Physics

2005-2008     City College of New York, NY

            Associate Professor, Levich Institute and Department of Physics

2008-Present    City College of New York, NY

            Professor, Levich Institute and Department of Physics

 

研究领域:

Prof. Makse’s research team is interested in the theoretical understanding of complexity. They are working towards the development of new architectural laws for complex networks, from biological systems, to the Internet, the web, social networks and cities. They also focus on the study of jammed matter, spanning from granular materials, colloidal suspensions, dense emulsions to glasses in search of unifying theoretical frameworks. They explore this variety of out-of-equilibrium systems in terms of their behavior as they experience structural arrest or jamming. 


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