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Data collected by the Dark Energy Survey confirm the existence of one of the largest supervoids known to humanity, the Eridanus supervoid.
Recent work will use the forthcoming Electron-Ion Collider to investigate what contributes to a neutron’s spin.
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.
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.
Cryo-EM snapshots of the solid-electrolyte interphase, or SEI, reveal its natural swollen state & offer a new approach to lithium-metal battery design
The international ITER project in France is starting to assemble the world’s most powerful fusion experiment.