Articles in the Science Category
Using the Titan supercomputer, a team at Oak Ridge National Laboratory is developing automated data tools for cancer research by employing deep learning techniques.
In a project led by Barmak Mostofian, a CMB postdoctoral researcher, Jeremy Smith’s team created models of up to 330,000 atoms and ran simulations on Titan earlier this year that led to the discovery of a THF-water cosolvent phase separation on the faces of crystalline cellulose fiber.
A multi-institution team led by University of Illinois at Urbana-Champaign (UIUC) professor David Ceperley is using high-performance computing resources at OLCF to compare and corroborate experimental findings pertaining to a variety of novel materials.
In an effort to modernize computational fluid dynamics, a group of Imperial College researchers has developed a highly accurate and flexible code that utilizes GPU accelerators.
In April 2014, a team used its INCITE allocation to simulate galaxy formation over billions of years using one trillion particles in a simulation called ds14_a (ds stands for Dark Sky).
A team led by Aurel Bulgac of the University of Washington has developed a novel model for capturing the real-time dynamics of nuclear fission without imposed constraints.
The US Department of Energy Office of Science has awarded nearly 1 billion processor hours to 22 projects at the Oak Ridge Leadership Computing Facility.
After their work simulating the calcium-48 nucleus, a team led by ORNL’s Gaute Hagen continued its work by moving to a larger, heavier, and more complex isotope—calcium-52—and the results surprised the researchers once again.
Simulation demonstrates how superconductivity arises in cuprates’ pseudogap phase.
A Cornell-led research team is using Titan to study cells’ sodium-powered neurotransmitter transporters in atomistic detail