Some of the universe’s heaviest elements are born in chaos, in matter flung outward when neutron stars collide or massive ...
Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining ...
Machine learning models energy release during heavy-element formation, enabling faster simulations of neutron star mergers ...
Shanghai, August 21, 2025 — Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and efficient use depends critically on the development ...
A new machine learning approach models adjusting power output of the Holos-Quad microreactor design by HolosGen LLC. The multi-agent reinforcement learning approach trains more efficiently than ...
The IAEA hosts a webinar focused on the strategic integration of Artificial Intelligence (AI) in Waste Management and Nuclear Decommissioning. This session highlights how AI technologies such as ...
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