RSS
The ultimate goal is to gain a further understanding of Arctic cold-air outbreaks and document their climatology using the COMBLE datasets.
Scientists at Pacific Northwest National Laboratory show exactly how promising approach to better batteries breaks down.
Early career scientists got intensive, hands-on training using supercomputers at the coveted Argonne Training Program on Extreme-Scale Computing.
A new process combining infrared light and machine learning shows potential to break barriers in disease detection.
Dr. Sanchari Chowdhury will lead the New Mexico Tech team for the Department of Energy grant.
A Northeastern team is developing a set of machine-learning tools and associated software to better interpret quantum images produced at SLAC.
Miguel Arratia, an assistant professor of physics and astronomy at UC Riverside, has received a $508,000 grant from the U.S. Department of Energy.
The work studied how the chemical form of phosphorus in aeolian dust - windblown silt and clay - effectively fertilizes the ecosystem.
The quantum electrodynamic cascades can lead to supernovas & fast radio bursts that equal in milliseconds the energy the sun puts out in three days.
Los Alamos & Oak Ridge scientists lead a DOE supercomputing effort to model the interactions affecting climate change in Arctic coastal regions.