Categories: AI/ML News

Scientists develop real-time AI monitoring for an advanced nuclear reactor component

Just as a clogged kitchen sink can bring household routines to a halt, a blockage in a nuclear reactor’s heat exchanger can slow operations and require urgent attention. Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are now using artificial intelligence to spot these hidden clogs early. This approach will help molten-salt-cooled reactors (MSCR) run smoothly and reduce expensive interruptions. The study is published in Scientific Reports.

Exploring reinforcement learning to control nuclear fusion reactions

A student in Carnegie Mellon University's School of Computer Science (SCS) has used reinforcement learning to help control nuclear fusion reactions, a significant step toward harnessing the immense power produced in nuclear fusion as a source of clean, abundant energy.

September 10, 2022

In "AI/ML News"

Artificial intelligence reframes nuclear material studies

The future of nuclear energy, which can produce electricity without harmful emissions, depends on discovery of new materials. A scientist at Argonne is using computer vision to separate the best candidates from a crowded field.

February 17, 2023

In "AI/ML News"