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Problem plastics could be diverted from landfills and converted into fuel sources with new technology.
At Lawrence Livermore National Laboratory, researchers simulate ion transport for ways to predict and improve materials for energy storage.
Frontier leverages ORNL’s extensive expertise in accelerated computing to tackle problems deemed impossible to solve as recently as five years ago.
The new results could impact future technology advancements in fields such as quantum computing, magnetic storage media, and high-precision sensors.
It was all hands on deck for physicists, engineers and technicians when the Jefferson Lab accelerator was crippled by a vacuum loss.
Reflections from Brookhaven Lab physicists on culmination of 2020-22 U.S. high-energy physics community planning process.
As Argonne’s cyber defense infrastructure support specialist, Ciuffetelli helps to maintain & manage cyber tools that keep Argonne safe & running well
Projects Span Improving Modeling of Clouds to Analyzing Extreme Events
The machine learning method for harnessing large volumes of X-ray data will speed materials discovery.
NERSC and ESnet play a primary role in facilitating LZ data sharing, processing, and storage.