LOS ALAMOS, N.M., Dec. 7, 2016—Scott Crooker, of Los Alamos National Laboratory’s Condensed Matter and Magnet Science group, and William Charles Louis III, of the Laboratory’s Physics Division, have been named Fellows of the American Association for the Advancement of Science (AAAS). Election as an AAAS Fellow is an honor bestowed upon AAAS members by their peers.
Scientists need to learn how to take advantage of exascale computing. This is the mission of the Argonne Training Program on Extreme-Scale Computing (ATPESC), which held its annual two-week training workshops over the summer.
Researchers from Berkeley Lab, Lawrence Livermore Lab and UC Davis are building the first-ever end-to-end simulation code to precisely capture the geology and physics of regional earthquakes, and how the shaking impacts buildings
Lawrence Livermore National Lab will be part of a multi-lab effort to apply high-performance computing to US-based industry’s discovery, design, and development of materials for severe environments under a new initiative announced by the Department of Energy (DOE) on Sept. 19.
Computational cosmologists at Berkeley Lab recently achieved a critical milestone in preparation for upcoming CMB experiments: scaling their data simulation and reduction framework TOAST to run on all 658,784 Intel Knights Landing Xeon Phi processor cores on NERSC’s Cori supercomputer. The team also implemented a new TOAST module to simulate the noise introduced when ground-based telescopes look at the CMB through the atmosphere.
Joe Nichols, of the University of Minnesota, is using ALCF resources to create high fidelity simulations of jet turbulence to determine how and where noise is produced. The results may lead to novel engineering designs that reduce noise over commercial flight paths and on aircraft carrier decks.
During major epidemics, cramped airplane cabins are fertile ground for the spread of infection, but new research suggests changing routine boarding protocols could be a key to reducing rampant transmission of disease.
Eight Los Alamos National Laboratory innovations were selected as finalists for the 2017 R&D 100 Awards, which honor the top 100 proven technological advances of the past year as determined by a panel selected by R&D Magazine.
ORNL researchers have been awarded $2 million to apply novel machine learning techniques to large-scale scientific data.
In July, the U.S. Department of Energy’s (DOE) Argonne National Laboratory hosted a five-day Coding Camp for more than two dozen high school juniors and seniors, teaching new programming skills and how computer science is an integral part of an Argonne researcher’s life.
Setting up a supercomputer is far more complicated than just bringing it home from the electronics store. Staff members of the Department of Energy’s supercomputing user facilities spend years on the process, from laying out requirements through troubleshooting. In the end, they run some of the most powerful computers in the world to help solve some of science’s biggest problems.
Two technologies developed at Los Alamos National Laboratory were recently recognized by the Federal Laboratory Consortium’s Mid-Continent Region for their contribution to both Los Alamos’ mission and the greater good.
A computer code used by physicists around the world to analyze and predict tokamak experiments can now approximate the behavior of highly energetic atomic nuclei, or ions, in fusion plasmas more accurately than ever.
Veterans will be the ultimate winners in the U.S. Department of Veterans Affairs-Department of Energy (DOE) Big Data Science Initiative, a collaborative research effort that casts Argonne National Laboratory in a prominent role.
Scientists at Berkeley Lab have developed new computer models to explore what happens when a black hole joins with a neutron star – the superdense remnant of an exploded star.
The annual conference will bring together government, academia, industry, and utilities to focus on key topics critical to enabling scientific discovery from big data.
Argonne researchers tackling cancer through deep learning with an eye towards the future and exascale computing.
Herbert Van de Sompel, research scientist at the Research Library of the Los Alamos National Laboratory, has been named the 2017 recipient of the Paul Evan Peters Award from the Coalition for Networked Information (CNI), the Association of Research Libraries, and EDUCAUSE.
Through the “Facilities Integrating Collaborations for User Science” (FICUS) initiative, 6 proposals have been selected to participate in a new partnership between the DOE Joint Genome Institute and the National Energy Research Scientific Computing Center, both U.S. Department of Energy user facilities at Lawrence Berkeley National Laboratory.
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