III.12 — Machine learning

Machine learning (ML) is a powerful new mathematical toolbox that allows for new possibilities in a broad variety of research areas. It enables machines to fulfill tasks without being explicitly programmed. There is no reason to believe why machine learning cannot be applied to particle accelerators. After a short introduction to machine learning, in this chapter the existing applications to particle accelerators are reviewed with examples on the PSI accelerator complex.

Publication Details

Journal
DORA PSI (Paul Scherrer Institute)
Published
2024-11-19
DOI
https://doi.org/10.23730/cyrsp-2024-003.2131
Primary Topic
Microbial Natural Products and Biosynthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

III.12 — Machine learning

DORA PSI (Paul Scherrer Institute)
Microbial Natural Products and Biosynthesis
article

III.12 — Machine learning

article en

Abstract

Machine learning (ML) is a powerful new mathematical toolbox that allows for new possibilities in a broad variety of research areas. It enables machines to fulfill tasks without being explicitly programmed. There is no reason to believe why machine learning cannot be applied to particle accelerators. After a short introduction to machine learning, in this chapter the existing applications to particle accelerators are reviewed with examples on the PSI accelerator complex.

DORA PSI (Paul Scherrer Institute)
Openalex Percentile: Top 65%
Microbial Natural Products and Biosynthesis
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III.12 — Machine learning · DORA PSI (Paul Scherrer Institute) (2024) | TGRS Research Map | TGRS