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

Journals >Laser and Particle Beams >Volume 2023 >Issue 3 >Page 2868112 > Article

Laser and Particle Beams
Vol. 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

Author Affiliations

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

show less

DOI: 10.1155/2023/2868112 Cite this Article

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 Copy Citation Text

show less

References