CSRC Workshop on LAMMPS for Non-equilibrium System
Dr. Changho Kim & Yu-Hang Tang, Brown University
Date: September 24, 2015
Location: Room A303, CSRC
9:30 – 10:00 | Multiscale Universal Interface: A concurrent framework for coupling heterogeneous solvers (Yu-Hang Tang) |
10:15 – 12:15 | LAMMPS Introduction (Yu-Hang Tang)
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14:00 – 14:30 | Quantifying uncertainties in equilibrium particle dynamics simulations (Dr. Changho Kim) |
14:45 – 17:00 | Calculation of physical quantities from LAMMPS (Changho Kim)
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Short Biosketch of lecturers:
Dr. Changho Kim
[1] Dr. Changho Kim is currently working as a post doc at the Division of Applied Mathematics, Brown University after receiving his second PhD from the division this May. In October, he is going to join the Center for Computational Sciences at the Lawrence Berkeley National Laboratory. He received his first PhD from the department of Chemistry, KAIST (Korea Advanced Institute of Science and Technology). His research interests include various mathematical analysis on molecular dynamics systems and microscopic and mescoscopic (i.e., stochastic) descriptions of fluid and soft-matter systems. With a synergistic use of mathematical analysis, physical theories, and large-sized computations, he has recently investigated the microscopic theory of Brownian motion and the uncertainty quantification for molecular dynamics simulations.
Yu-Hang Tang
[2] Yu-Hang Tang is a Ph.D. candidate with the Division of Applied Mathematics at Brown University. His primary research interests focus on High Performance Computing and concurrent multiscale coupling with applications in modelling soft matter systems and physiological fluids. He is the author of several open-source software packages, including the LAMMPS USERMESO GPU-accelerated package for Dissipative Particle Dynamics (DPD) and Smoothed Particle Hydrodynamics (SPH) simulations, as well as the Multiscale Universal Interface library for coupling standalone solvers to perform multiscale simulations. He is a reviewer of the Journal of Computational Science and a NDA member with NVIDIA.
Slides:
practicing-DPD-with-LAMMPS.pdf
