What Machine Learning Can and Cannot Do for Inertial Confinement Fusion

Machine learning methodologies have played remarkable roles in solving complex systems with large data, well-defined input–output pairs, and clearly definable goals and metrics. The methodologies are effective in image analysis, classification, and systems without long chains of logic. Recently, mac...

Full description

Bibliographic Details
Published in:Plasma
Main Authors: Baolian Cheng, Paul A. Bradley
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Subjects:
Online Access:https://www.mdpi.com/2571-6182/6/2/23