Towards ML-Based Diagnostics of Laser–Plasma Interactions

Towards ML-Based Diagnostics of Laser–Plasma Interactions

The power of machine learning (ML) in feature identification can be harnessed for determining quantities in experiments that are difficult to measure directly. However, if an ML model is trained on simulated data, rather than experimental results, the differences between the two can pose an obstacle...

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Bibliographic Details
Main Authors: Yury Rodimkov, Shikha Bhadoria, Valentin Volokitin, Evgeny Efimenko, Alexey Polovinkin, Thomas Blackburn, Mattias Marklund, Arkady Gonoskov, Iosif Meyerov
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
laser–plasma
machine learning
neural network
dimension reduction
data augmentation
Online Access:https://www.mdpi.com/1424-8220/21/21/6982

Internet

https://www.mdpi.com/1424-8220/21/21/6982

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