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商品詳細
Machine Learning Based Optimization of Laser-Plasma Accelerators.
・ISBN 978-3-031-88085-8 paper EUR 169.99
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| 著者・編者 | Jalas, Soeren, |
|---|---|
| シリーズ | (Springer Theses) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 134 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-85218＞ |
解説
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.