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M. Bussmann

12 papers hereh-index 323.5k citations209 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10
  • last author2

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • physics.plasm-ph3
  • cond-mat.soft1
  • cs.PF1
  • hep-ph1
  • physics.acc-ph1
same name
  • M. Bussmann — 3 papers
  • M. Bussmann — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedHybrid LWFA ∣ PWFA Staging as a Beam Energy and Brightness Transformer : Conceptual Design and Simulations

18 citations · 29 across the 7 of their papers we have counts for

collaborators
Showing physics.plasm-phShow all

3 papers · 1 filter

physics.plasm-ph2021

Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks

Friedrich Bethke, Richard Pausch, Patrick Stiller +3

Invertible neural networks are a recent technique in machine learning promising neural network architectures that can be run in forward and reverse mode. In this paper, we will be…

physics.plasm-ph2020

Probing ultrafast laser plasma processes inside solids with resonant small-angle X-ray scattering

Lennart Gaus, Lothar Bischoff, Michael Bussmann +33

Extreme states of matter exist throughout the universe e.g. inside planetary cores, stars or astrophysical jets. Such conditions are generated in the laboratory in the interaction…

physics.plasm-ph2020

Nanoscale subsurface dynamics of solids upon high-intensity laser irradiation observed by femtosecond grazing-incidence x-ray scattering

Lisa Randolph, Mohammadreza Banjafar, Thomas R. Preston +28

Observing ultrafast laser-induced structural changes in nanoscale systems is essential for understanding the dynamics of intense light-matter interactions. For laser intensities on…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.