Latest News
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July 9, 2024A state-of-the-science Earth system model predicts climate change will reduce North American wetlands and disrupt their seasonal regimes.
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Press ReleaseJuly 9, 2024Work by Argonne and Illinois Urbana-Champaign simplifies & speeds up the process of using AI tools and algorithms to understand 3D protein structure.
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Press ReleaseJuly 9, 2024The U.S. Department of Energy (DOE) Bioenergy Technologies Office (BETO) has released a Request for Information (RFI) on Renewable Propane Production Technologies and Uses to better understand the supply chains for production and uses of renewable propane and other renewable gaseous intermediates. Specifically, this RFI (DE-FOA-0003389) seeks input from industry and other stakeholders who produce, or are considering producing, renewable propane on the potential to increase its viability to pursue new production pathways to sustainable aviation fuels and other high-impact products.Alternative Fuels and Feedstocks Office
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July 8, 2024The 19-foot conductors will be used to create the coil, which confines & stabilizes superhot plasma to produce the conditions for fusion experiments.
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Press ReleaseJuly 8, 2024Three projects will use the ALCF AI Testbed as part of the first round of awards from the NAIRR Pilot.
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Press ReleaseJuly 8, 2024Applying a novel framework to a kilometer-scale model reveals new characteristics about elevated concentrations of aerosols’ effect on clouds.
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Press ReleaseJuly 5, 2024DOE awarded a non-competitive financial assistance grant to the South Carolina Emergency Management Division to fund emergency preparedness in the state as it pertains to the Savannah River Site.Office of Environmental Management
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Press ReleaseJuly 5, 2024Fermilab has announced two new initiatives to foster innovation and growth in the engineering and technical communities of the lab.
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Press ReleaseJuly 5, 2024Researchers discovered that how calcite is chemically transformed can dramatically alter the internal structure of individual mineral particles.
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July 5, 2024Computer scientists created a method to validate quantum algorithms for nuclear physics applications, making these calculations more efficient.