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High Power Laser Science and Engineering, Volume. 11, Issue 3, 03000e34(2023)

Optimization and control of synchrotron emission in ultraintense laser–solid interactions using machine learning On the Cover

J. Goodman1, M. King1,2, E. J. Dolier1, R. Wilson1, R. J. Gray1, and P. McKenna1,2、*
Author Affiliations
  • 1SUPA Department of Physics, University of Strathclyde, Glasgow, UK
  • 2The Cockcroft Institute, Sci-Tech Daresbury, Warrington, UK
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    J. Goodman, M. King, E. J. Dolier, R. Wilson, R. J. Gray, P. McKenna. Optimization and control of synchrotron emission in ultraintense laser–solid interactions using machine learning[J]. High Power Laser Science and Engineering, 2023, 11(3): 03000e34

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    Paper Information

    Category: Research Articles

    Received: Dec. 10, 2022

    Accepted: Feb. 6, 2023

    Published Online: May. 29, 2023

    The Author Email: P. McKenna (paul.mckenna@strath.ac.uk)

    DOI:10.1017/hpl.2023.11

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology