You are here

KI-Net Conference Announcement

Hypocoercivity and Sensitivity Analysis in Kinetic Equations and Uncertainty Quantification

Oct 2 - 5, 2017

Department of Mathematics, UW-Madison
University of Wisconsin-Madison

UW-Madison Visitor Guide



CONFERENCE LECTURES



ABSTRACT

Kinetic equations, and the corresponding hydrodynamic closures, contain uncertainties due to modeling errors. The uncertainties could arise in collision kernels,  forcing, geometry, or initial and boundary data. Many of such uncertainties can be modeled by random inputs in the coefficients or initial or boundary conditions.  Study the propagations of such uncertainties is important for many  engineering applications. However, research in this direction is still under-developed.

Recent research has found important connections between hypocoercivity and sensitivity analysis for uncertain kinetic equations and the study of their numerical approximations.  The goal of this workshop is to bring together researchers in analysis and computations of kinetic equations to explore the research opportunities in this direction and to foster further collaborations. 

The covered areas include classical and quantum kinetic equations in gas, fluids and plasma,  kinetic and fluid couplings in multiphase flows, and collective and self-organized dynamics in biological and social dynamics.

GOALS

Senior and young researchers will be invited to give lectures on their recent results.  Small working groups will be formed to discuss future research topics.

REGISTRATION REQUESTED

Invited participants can RSVP and provide the additional requested information about their stay, including the title and abstract of proposed talks, here.

Applications for participation can be made through the Online Application. Due to space limitations, these requests are subject to approval by the organizers.

ORGANIZERS

NameAffiliationEmail
Shi JinUniversity of Wisconsin-Madison, Department of Mathematicsjin@math.wisc.edu

CONFIRMED PARTICIPANTS

NameAffiliation
Anton ArnoldTechnical University of Vienna
Eric A. CarlenRutgers University
Zheng ChenOak Ridge National Laboratory
Jean DolbeaultUniversité Paris Dauphine
Renjun DuanChinese University of Hong Kong
Irene M. GambaUniversity of Texas at Austin
François GolseÉcole Polytechnique
Jingwei HuPurdue University
Shi JinUniversity of Wisconsin-Madison
Wenjia JingTsinghua University
Qin LiUniversity of Wisconsin-Madison
Jian-Guo LiuDuke University
Liu LiuUniversity of Texas at Austin
Hanqing LuUniversity of Wisconsin-Madison
Lorenzo PareschiUniversity of Ferrara
Christian SchmeiserUniversity of Vienna
Ruiwen ShuUniversity of Wisconsin-Madison
Robert M. StrainUniverity of Pennsylvania
Minh Binh TranUniversity of Wisconsin-Madison
Li WangSUNY Buffalo
Yingwei WangUniversity of Wisconsin-Madison
Tobias WoehrerVienna University of Technology
Yuhua ZhuUniversity of Wisconsin-Madison


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

UW-Madison Visitor Guide

Department of Mathematics, UW-Madison (UW-Madison)
Van Vleck Hall, 480 Lincoln Drive
Madison, WI

Email: jin@math.wisc.edu

ACKNOWLEDGMENT

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