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

J. Goodman; M. King; E. J. Dolier; R. Wilson; R. J. Gray; P. McKenna

doi:10.1017/hpl.2023.11

Journals >High Power Laser Science and Engineering >Volume 11 >Issue 3 >Page 03000e34 > Article

High Power Laser Science and Engineering
Vol. 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. King^1、2, E. J. Dolier¹, R. Wilson¹, R. J. Gray¹, and P. McKenna^1、2、*

Author Affiliations

¹SUPA Department of Physics, University of Strathclyde, Glasgow, UK

²The Cockcroft Institute, Sci-Tech Daresbury, Warrington, UK

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DOI: 10.1017/hpl.2023.11 Cite this Article Set citation alerts

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 Copy Citation Text

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