universeinthelab_en🌌 How are chemical elements created in #supernovas or #NeutronStarMergers? Accurately simulating these extreme events requires enormous computing power, forcing researchers to simplify their models.
How GSI/FAIR’s new RHINE model helps 👉 https://www.gsi.de/en/start/news/details/2026/06/08/rhine
Understanding neutron star mergers with artificial intelligence
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.
Ansgar Schmidt 
