Articles tagged with: Physics
A team led by Princeton Plasma Physics Laboratory’s C.S. Chang recently used the 27-petaflop Titan supercomputer to simulate a crucial transition phenomenon in MIT’s Alcator C-Mod tokamak, uncovering the basic physics behind the transition.
The OLCF played a major role in the annual American Physical Society March Meeting—the largest gathering of physicists in the world—by bringing high-performance computing talks to the meeting as part of a petascale computing focus session.
A team led by Thomas Jordan of the Southern California Earthquake Center, headquartered at the University of Southern California in Los Angeles, is using the Titan supercomputer to develop physics-based earthquake simulations to better understand earthquake systems, including the potential seismic hazards from known faults and the impact of strong ground motions on urban areas.
A team of condensed matter theorists at Rutgers University used nearly 10 million Titan core hours to calculate the electronic and magnetic structure of plutonium using a combination of density functional theory calculations and the leading-edge dynamical mean field theory technique.
Oak Ridge National Laboratory’s (ORNL’s) Bronson Messer shared his knowledge on this subject during the 2014 International Summer School on AstroComputing (ISSAC), held at the University of California’s High-Performance AstroComputing Center (UC-HiPACC) in San Diego, from July 21 to August 1.
A group of graduate students from the University of Tennessee has the unique opportunity to perform research on Oak Ridge National Laboratory’s Titan.
This year’s March Meeting of the American Physical Society featured a focus session on computational materials research proposed and led by ORNL’s Jack Wells.
The PanDA collaboration holds potential benefits for OLCF as well as for ATLAS.
A team from Thomas Jefferson National Accelerator Facility (JLab) in Virginia is working to deepen our understanding of quarks, enlisting the help of Oak Ridge National Laboratory’s Titan supercomputer.
By adding a graphics processing unit (GPU) accelerator to the 16-core central processing unit (CPU) on each node, the OLCF substantially increased Titan’s computing capability, enabling INCITE researchers to reach unprecedented science achievements.