Modeling of a Liquid Leaf Target TNSA Experiment Using Particle-In-Cell Simulations and Deep Learning

B. Schmitz; D. Kreuter; O. Boine-Frankenheim; Daniele Margarone

doi:10.1155/2023/2868112

Laser and Particle Beams, Volume. 2023, Issue 3, 2868112(2023)

Modeling of a Liquid Leaf Target TNSA Experiment Using Particle-In-Cell Simulations and Deep Learning

B. Schmitz¹, D. Kreuter², O. Boine-Frankenheim^1,3, and Daniele Margarone

¹Technische Universität Darmstadt Darmstadt Institut für Teilchenbeschleunigung und Elektromagnetische Felder (TEMF) Schlossgartenstr. 8 64289 Darmstadt Germany

²University of Cambridge Department of Applied Mathematics and Theoretical Physics (DAMTP) Centre for Mathematical Sciences Wilberforce Road Cambridge CB3 0WA UK

³GSI Helmholtzzentrum für Schwerionenforschung GmbH Planckstr. 1 64291 Darmstadt Germany

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B. Schmitz, D. Kreuter, O. Boine-Frankenheim, Daniele Margarone. Modeling of a Liquid Leaf Target TNSA Experiment Using Particle-In-Cell Simulations and Deep Learning[J]. Laser and Particle Beams, 2023, 2023(3): 2868112

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Paper Information

Category: Research Articles

Received: Jan. 19, 2023

Accepted: Mar. 31, 2023

Published Online: Aug. 14, 2023

The Author Email:

DOI:10.1155/2023/2868112

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology