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Efficient Numerical Methods for Kinetic Equations

by Jingwei Hu, Purdue University

In multiscale modeling hierarchy, the Boltzmann and related kinetic equations serve as a building block that bridges microscopic Newtonian mechanics and macroscopic continuum mechanics. In this short course, I will start with a brief introduction of basic kinetic equations, and then discuss various numerical aspects of efficiently solving these equations, including fast algorithms for collision operators, asymptotic-preserving schemes for multiscale problems. I will also cover some recent development on uncertainty quantification for kinetic equations.

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Short Bio:

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Jingwei Hu has been an assistant professor of mathematics at Purdue University since 2014. She obtained her PhD degree from the University of Wisconsin-Madison in 2011 and was a postdoc at the University of Texas at Austin in 2011-2014. She was a recipient of the ICES Postdoctoral Fellowship in 2011-2013 and the NSF CAREER Award in 2017. Her research is focused on developing efficient and robust numerical methods for various multiscale kinetic equations. 

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