Georgia Tech's Qi Tang has received an Early Career Research Program award from the Department of Energy's Office of Science. The $875,000 grant supports Tang for five years to craft ML tools that ...
Deep-Learning Paradigm Achieves Global Precision in Nuclear Charge Density PredictionsThe charge density distribution of an atomic nucleus is a ...
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 ...
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 ...
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 research team is using astrophysical explosions to understand the mysterious forces at work in some of the smallest ...
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