- Number 367 |
- July 16, 2012
The Sequoia may be considered the largest tree in the world, but now the name Sequoia invokes a giant capability in high performance computing.
Sequoia – located at Lawrence Livermore National Laboratory (LLNL) – is the world's fastest high performance computing system on the international ranking, it was announced at the 2012 International Supercomputing Conference (ISC) in Hamburg, Germany in June.
You may not be able to see them, but tiny airborne particles are everywhere. Tens of millions of kilograms of the smallest particles, known as PM2.5, float over a typical big city in the form of soot, smog, cloud droplets, sea spray and the like. Some types cause health problems when they get into human lungs, while others influence climate by interacting with sunlight.
Now researchers at SLAC National Accelerator Laboratory have captured the most detailed images to date of airborne soot particles, which turn out to have surprisingly complex nanostructures. The discovery could ultimately aid the understanding of atmospheric processes important to climate change, as well as the design of cleaner combustion sources, from car engines to power plants.
An team from DOE's Oak Ridge National Laboratory and the University of Tennessee has used DOE's Jaguar supercomputer to calculate the number of isotopes allowed by the laws of physics. The team, led by Witek Nazarewicz, used a quantum approach known as density functional theory, applying it independently to six leading models of the nuclear interaction to determine that there are about 7,000 possible combinations of protons and neutrons allowed in bound nuclei with up to 120 protons (a hypothetical element called "unbinilium").
Most of these nuclei have not been observed experimentally.
Sandia seeks commercialization partners for promising “spectral shape discrimination” technology
A team of nanomaterials researchers at Sandia National Laboratories has developed a new technique that could make radiation detection in cargo and baggage more effective and less costly for homeland security inspectors.
Known as spectral shape discrimination, the method takes advantage of a new class of nanoporous materials known as metal-organic frameworks. Researchers discovered that adding a doping agent to an MOF leads to the emission of red and blue light when the MOF interacts with high-energy particles emanated from radiological or nuclear material, enabling more effective detection of neutrons. Neutron detection is currently a costly and technically challenging endeavor due to the difficulty in distinguishing neutrons from ubiquitous background gamma rays.