Machine learning models energy release during heavy-element formation, enabling faster simulations of neutron star mergers ...

Please see the full solicitation for complete information about the funding opportunity. Below is a summary assembled by the Research & Innovation Office (RIO). The DOE SC program in Nuclear Physics ...

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 ...

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 ...

Under cover The new transfer-learning system could be used to identify shipments of illicit nuclear materials. (Courtesy: Shutterstock/Gualtiero Boffi) Machine-learning could help us use cosmic muons ...

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 ...

This study introduces a methodology for applying artificial intelligence techniques to build an internal dosimetry prediction toolkit for nuclear medical pediatric applications. Based on distinct ...