Data-driven science and machine learning methods in laser–plasma physics

Andreas Döpp; Christoph Eberle; Sunny Howard; Faran Irshad; Jinpu Lin; Matthew Streeter

doi:10.1017/hpl.2023.47

Journals >High Power Laser Science and Engineering >Volume 11 >Issue 5 >Page 05000e55 > Article

High Power Laser Science and Engineering
Vol. 11, Issue 5, 05000e55 (2023)

Data-driven science and machine learning methods in laser–plasma physics | Editors' Pick

Andreas Döpp^1、2、*, Christoph Eberle¹, Sunny Howard^1、2, Faran Irshad¹, Jinpu Lin¹, and Matthew Streeter³

Author Affiliations

¹Ludwig-Maximilians-Universität München, Garching, Germany

²Department of Physics, Clarendon Laboratory, University of Oxford, Oxford, UK

³School for Mathematics and Physics, Queen’s University Belfast, Belfast, UK

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DOI: 10.1017/hpl.2023.47 Cite this Article Set citation alerts

Andreas Döpp, Christoph Eberle, Sunny Howard, Faran Irshad, Jinpu Lin, Matthew Streeter. Data-driven science and machine learning methods in laser–plasma physics[J]. High Power Laser Science and Engineering, 2023, 11(5): 05000e55 Copy Citation Text

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