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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...

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Bibliografski detalji
Glavni autori: Baolian Cheng, Paul A. Bradley
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2023-06-01
Serija:Plasma
Teme:
Online pristup:https://www.mdpi.com/2571-6182/6/2/23
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