AI for astrophysics: Algorithms help chart the origins of heavy elements
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-The origin of heavy elements in our universe is t heorized to be the result of neutron star collisions, which produce conditions h ot and dense enough for free neutrons to merge with atomic nuclei and form new e lements in a split-second window of time. Testing this theory and answering othe r astrophysical questions requires predictions for a vast range of masses of ato mic nuclei. Los Alamos National Laboratory scientists are front and center in us ing machine learning algorithms (an application of artificial intelligence) to successfully model the atomic masses of the entire nuclide chart - the combination of all possible protons and neutrons that defines elements and their isotopes.
Key words
Algorithms/Astrophysics/Cyborgs/DOE/Los Alamos National Laboratory/Emerging Technologies/Machine Learning/Physics
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