Young Researchers Workshop: Stochastic and deterministic methods in kinetic theory

Nov 28 - Dec 2, 2016

Duke University
Department of Mathematics

Visitor Guide

CONFERENCE SCHEDULE

CONFERENCE LECTURES

ABSTRACT

The kinetic theory naturally brings together deterministic and stochastic physical models, from the early days of modeling of gas molecules, to the mesoscopic description of collective behavior, and to the more recent uncertainty quantification in kinetic models. On the numerical aspects, while stochastic numerical methods like direct simulation Monte Carlo methods have been very popular, recent years also observe huge development in deterministic methods for kinetic theory and stochastic systems. This workshop will focus on the fascinating interplay between analysis of kinetic theory, deterministic and stochastic modeling, multiscale analysis and methods, with applications in physical, biological and social sciences.

GOALS

The goal of this conference is to bring together young, energetic researchers working in kinetic theory and related fields to exchange ideas and facilitate collaborations. The focus will include stochastic modeling in kinetic theory, multiscale modelling, quantum dynamics, and stochastic and deterministic numerical methods. 

REGISTRATION CLOSED

ORGANIZERS

CONFIRMED PARTICIPANTS

FUNDING

A limited amount of travel and local lodging is available for researchers in the early stages of their career who want to attend the full program, especially for graduate students and post-doctoral fellows.

INFORMATION FOR PARTICIPANTS

Visitor Guide

Email: jianfeng@math.duke.edu

CONFERENCE POSTER

ACKNOWLEDGMENT

Funding provided by the NSF through the KI-net Grant.