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KI-Net Conference Announcement

Scalable methods for kinetic equations

Oct 19 - 23, 2015

Computer Science and Math. Division, ORNL
Oak Ridge National Lab




Kinetic equations are complex models of particle transport, defined on high-dimensional spaces, supporting dynamics on many scales, and often coupled to other physical models.  To address these challenges, realistic simulations based on kinetic descriptions often require a combination of advanced numerical methods, high-performance computing, and keen physical insight.  For this reason it is important for applied mathematicians, computational scientists, and application experts to work together to find the most effective approaches to leverage computation for scientific discovery.


The goal of this conference is to bring together applied mathematicians, computational scientists, and applications experts to discuss the challenges of simulating highly complex systems and to present recent work on or relevant to scalable methods.  Topics of interest include will advanced algorithms (such as multiscale, hybrid, and multilevel approaches), algorithms that leverage heterogeneous computing platforms, and implementation issues and scientific studies using large-scale computers systems.  In addition to formal presentations, time will be set aside for informal discussions on reserach and opportunites for collaboration.



Luis ChaconLos Alamos National Laboratory, Applied Math and Plasma
Cory HauckOak Ridge National Laboratory and University of Tennessee, Computer Science and Mathematics Division / Department of Mathematics/
Shi JinUniversity of Wisconsin-Madison, Department of


Alexander BobylevKarlstad University/KIAM RAS
Reuben BudiardjaUniversity of Tennessee
Russel CaflischUCLA
Luis ChaconLos Alamos National Laboratory
Choong-Seock ChangPrinceton Plasma Physics Laboratory
Michael CrockattMichigan State University
Giacomo DimarcoUniversity of Ferrara
Eirik EndeveOak Ridge National Laboratory
Thomas EvansOak Ridge National Laboratory
Irene M. GambaUniversity of Texas at Austin
David P. GriesheimerBettis Laboratory
Pierson GuthreyIowa State University
Jeff HaackLos Alamos National Laboratory
Robert C. HagerPrinceton Plasma Physics Laboratory
Ammar HakimPrinceton Plasma Physics Laboratory
Greg HammettPrinceton Plasma Physics Laboratory
Cory HauckOak Ridge National Laboratory and University of Tennessee
Shi JinUniversity of Wisconsin-Madison
Ming Tse P. LaiuUniversity of Maryland
Liu LiuUniversity of Wisconsin-Madison
Robert MartinAir Force Research Laboratory
Tony MezzacappaUniversity of Tennessee
Jose A. Morales EscalanteTU Wien (Technical University of Vienna)
Jim MorelTexas A&M University
Lin Muoak ridge national Laboratory
Ryosuke ParkLos Alamos National Laboratory
Irina PotapenkoKeldysh Institute of Applied Mathematics, Moscow
Lee RicketsonNew York University
James RossmanithIowa State University
Karl RuppTU Wien
Christian ScullardLLNL
Qiwei ShengUniversity of Tennessee
Eric ShiPrinceton University
Uri ShumlakUniversity of Washington
Jonathan SiegelUCLA
William T. TaitanoLos Alamos National Laboratory
Li WangSUNY Buffalo
Bokai YanUniversity of California, Los Angeles


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.


Computer Science and Math. Division, ORNL (ORNL)
Bethel Valley Road
Oak Ridge, TN



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