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|Show fewer author(s)

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

show less

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," High Power Laser Sci. Eng. 11, 05000e55 (2023) Copy Citation Text

EndNote(RIS)

BibTex

Plain Text

show less

Cited By

Article index updated: May. 31, 2025

Citation counts are provided from Web of Science. The counts may vary by service, and are reliant on the availability of their data.

The article is cited by 64 article(s) from Web of Science.

The article is cited by 8 article(s) CLP online library. (Some content might be in Chinese.)

Download Citation

Set citation alerts for the article

Tools

Set citation alerts for the article

Save the article for my favorites

Paper Information

微信扫一扫：分享

微信扫一扫：分享