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Book Cover for: Machine Learning Based Optimization of Laser-Plasma Accelerators, Sören Jalas

Machine Learning Based Optimization of Laser-Plasma Accelerators

Sören Jalas

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. The book involves the implementation of Bayesian optimization to fine tune the parameters of the lux accelerator, encompassing simulations and real-time experimentation.

In combination, the methods presented in this book provide valuable tools for effectively managing the inherent complexity of LPAs, spanning from the design phase in simulations to real-time operation, potentially paving the way for LPAs to cater to a wide array of applications with diverse demands.

Book Details

  • Publisher: Springer
  • Publish Date: Jun 10th, 2025
  • Pages: 134
  • Language: English
  • Edition: undefined - undefined
  • Dimensions: 9.44in - 6.40in - 0.54in - 0.95lb
  • EAN: 9783031880827
  • Categories: Physics - NuclearProbability & Statistics - GeneralArtificial Intelligence - General

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