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Neutron star merger simulations gain new precision with AI-driven r-process heating
- June 8, 2026 at 7:00 PM
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Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as neutron star mergers. For the first time, the scientists used deep learning with a neural network to model the energy release during r-process nucleosynthesis in hydrodynamic simulations. The results are published in the journal Physical Review D.
Originally published at Phys.org