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

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

1 June 2021
Friedrich Bethke
R. Pausch
Patrick Stiller
A. Debus
Michael Bussmann
Nico Hoffmann
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
Title
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Data-driven Science and Machine Learning Methods in Laser-Plasma PhysicsHigh Power Laser Science and Engineering (HPLSE), 2022
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
AI4CE
261
87
0
30 Nov 2022
Continual learning autoencoder training for a particle-in-cell
  simulation via streaming
Continual learning autoencoder training for a particle-in-cell simulation via streaming
Patrick Stiller
Varun Makdani
Franz Pöschel
R. Pausch
A. Debus
Michael Bussmann
Nico Hoffmann
AI4CE
171
3
0
09 Nov 2022
1