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William Tang is using artificial intelligence methods to improve predictive capabilities and mitigate large-scale disruptions in tokamak systems.
A team gained insights into the material-vanadium oxide-that might be the missing ingredient needed to complete a reliable neuromorphic recipe.
Communique Newsletter: January 10, 2022
An international team that wants to build small high-energy physics machines tries out its designs on ORNL's Frontier exascale computer.
MIT researchers are testing a simplified turbulence theory’s ability to model complex plasma phenomena using a novel machine-learning technique.
Argonne physicists say cold and dry is perfect for examining the oldest light in the universe.
New research from Northwestern U Medicine and the La Jolla Institute for Immunology could have implications on drug treatments targeting cancer cells.
University of Melbourne team of aerodynamic computer modelling experts awarded simulation-running time on a DOE Office of Science supercompter.
A new version of the Energy Exascale Earth System Model is two times faster than the previous version.
A new study plumbs the depths of deep learning and could connect the digital synapses toward better, more reliable artificial-intelligence models.