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OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
As home to three top-ranked supercomputers of the last decade, the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL) has become synonymous with scientific computing at the largest scales. Getting the most out of these science machines, however, requires a w...
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.
By analyzing a pattern formed by the intersection of two beams of light, researchers can capture elusive details regarding the behavior of mysterious phenomena such as gravitational waves. Creating and precisely measuring these interference patterns would not be possible without instruments called interferometers.
Seven researchers from the Department of Energy’s Oak Ridge National Laboratory have been chosen by the Innovative and Novel Computational Impact on Theory and Experiment, also known as INCITE, program to lead scientific investigations that require the nation’s mo...
Scientists from the Critical Materials Institute used the Titan supercomputer and Eos computing cluster at ORNL to analyze designer molecules that could increase the yield of rare earth elements found in bastnaesite, an important mineral
In a project leveraging computer vision, machine learning, and sensors, Oak Ridge National Laboratory scientists are working with private company GRIDSMART Technologies, Inc. to demonstrate how stop lights can be programmed to improve fuel economy and reduce emissions.