Schematic illustration of applying machine learning to nuclear materials research: addressing reactor challenges through data-driven property prediction and advancing toward hybrid ML–physics frameworks. (IMAGE)

ELSP

Schematic illustration of applying machine learning to nuclear materials research: addressing reactor challenges through data-driven property prediction and advancing toward hybrid ML–physics frameworks.

Caption

Schematic illustration of applying machine learning to nuclear materials research: addressing reactor challenges through data-driven property prediction and advancing toward hybrid ML–physics frameworks.

Credit

Credit: Chaoyue Jin and Shurong Ding / Fudan University

Usage Restrictions

Credit must be given to the creator.

License

CC BY

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.