Machine Learning for Design and Control of Particle Accelerators: A Look Backward and Forward

IF 11.3 1区化学 Q1 CHEMISTRY, PHYSICAL

ACS Catalysis Pub Date : 2024-09-26 DOI:10.1146/annurev-nucl-121423-100719

Auralee Edelen, Xiaobiao Huang

引用次数: 0

Abstract

Particle accelerators are extremely complex machines that are challenging to simulate, design, and control. Over the past decade, artificial intelligence (AI) and machine learning (ML) techniques have made dramatic advancements across various scientific and industrial domains, and rapid improvements have been made in the availability and power of computing resources. These developments have begun to revolutionize the way particle accelerators are designed and controlled, and AI/ML techniques are beginning to be incorporated into regular operations for accelerators. This article provides a high-level overview of the history of AI/ML in accelerators and highlights current developments along with contrasting discussion about traditional methods for accelerator design and control. Areas of current technological challenges in developing reliable AI/ML methods are also discussed along with future research directions.

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用于粒子加速器设计与控制的机器学习：瞻前顾后

粒子加速器是一种极其复杂的机器，其模拟、设计和控制都极具挑战性。过去十年间，人工智能（AI）和机器学习（ML）技术在各个科学和工业领域取得了突飞猛进的发展，计算资源的可用性和计算能力也得到了快速提升。这些发展已经开始彻底改变粒子加速器的设计和控制方式，人工智能/ML 技术也开始被纳入加速器的常规操作中。本文高度概括了人工智能/ML 在加速器中的应用历史，并重点介绍了当前的发展情况，同时对加速器设计和控制的传统方法进行了对比讨论。文章还讨论了当前在开发可靠的人工智能/ML 方法方面所面临的技术挑战，以及未来的研究方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Catalysis CHEMISTRY, PHYSICAL-

CiteScore

20.80

自引率

6.20%

发文量

1253

审稿时长

1.5 months

期刊介绍： ACS Catalysis is an esteemed journal that publishes original research in the fields of heterogeneous catalysis, molecular catalysis, and biocatalysis. It offers broad coverage across diverse areas such as life sciences, organometallics and synthesis, photochemistry and electrochemistry, drug discovery and synthesis, materials science, environmental protection, polymer discovery and synthesis, and energy and fuels. The scope of the journal is to showcase innovative work in various aspects of catalysis. This includes new reactions and novel synthetic approaches utilizing known catalysts, the discovery or modification of new catalysts, elucidation of catalytic mechanisms through cutting-edge investigations, practical enhancements of existing processes, as well as conceptual advances in the field. Contributions to ACS Catalysis can encompass both experimental and theoretical research focused on catalytic molecules, macromolecules, and materials that exhibit catalytic turnover.