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Researchers at GSI/FAIR developed RHINE, an AI-powered simulation that models nuclear reactions during neutron star mergers. The machine learning model estimates r-process heating rates with minimal computing power. RHINE's source code is publicly available. Findings appeared in Physical Review D.
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