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High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of
  Electron Beams using Encoder-Decoder Neural Networks

High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of Electron Beams using Encoder-Decoder Neural Networks

25 January 2021
Jun Zhu
Ye Chen
F. Brinker
W. Decking
S. Tomin
H. Schlarb
    AI4CE
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Papers citing "High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of Electron Beams using Encoder-Decoder Neural Networks"

4 / 4 papers shown
Title
Cheetah: Bridging the Gap Between Machine Learning and Particle
  Accelerator Physics with High-Speed, Differentiable Simulations
Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations
Jan Kaiser
Chenran Xu
Annika Eichler
Andrea Santamaria Garcia
21
7
0
11 Jan 2024
Physics-constrained 3D Convolutional Neural Networks for Electrodynamics
Physics-constrained 3D Convolutional Neural Networks for Electrodynamics
A. Scheinker
R. Pokharel
32
15
0
31 Jan 2023
Mixed Diagnostics for Longitudinal Properties of Electron Bunches in a
  Free-Electron Laser
Mixed Diagnostics for Longitudinal Properties of Electron Bunches in a Free-Electron Laser
J. Zhu
N. Lockmann
M. Czwalinna
H. Schlarb
11
5
0
15 Jan 2022
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional
  Latent Space Tuning
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning
A. Scheinker
AI4CE
37
30
0
13 Jul 2021
1