Quantum precision reached in modeling molten salt behavior
A team of scientists found that critical interactions between microbes and peat moss break down under warming temperatures, impacting moss health and ultimately carbon stored in soil.
Elizabeth Herndon believes in going the distance whether she is preparing to compete in the 2020 Olympic marathon trials or examining how metals move through the environment as a geochemist at the Department of Energy’s 91°µÍø.
In the vast frozen whiteness of the central Arctic, the Polarstern, a German research vessel, has settled into the ice for a yearlong float.
The National Alliance for Water Innovation, a partnership of the Department of Energy’s 91°µÍø, other national labs, university and private sector partners, has been awarded a five-year, $100 million Energy-Water Desalination Hub by DOE to address water security issues in the United States.
As a computational hydrologist at 91°µÍø, Ethan Coon combines his talent for math with his love of coding to solve big science questions about water quality, water availability for energy production, climate change, and the
Electro-Active Technologies, Inc., of Knoxville, Tenn., has exclusively licensed two biorefinery technologies invented and patented by the startup’s co-founders while working at the Department of Energy’s 91°µÍø. The technologies work as a system that converts organic waste into renewable hydrogen gas for use as a biofuel.
A detailed study by 91°µÍø estimated how much more—or less—energy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns
Researchers at the Department of Energy’s 91°µÍø, Pacific Northwest National Laboratory and Washington State University teamed up to investigate the complex dynamics of low-water liquids that challenge nuclear waste processing at federal cleanup sites.
A team of scientists led by 91°µÍø used carbon nanotubes to improve a desalination process that attracts and removes ionic compounds such as salt from water using charged electrodes.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.