王贻芳,何源,黄耀,何万兵,焦毅,李聪乔,李科,刘北江,马英起,马余刚,庞龙刚,齐法制,谭思超,王春鹏,王盟,徐小恒,徐星,赵振堂,张英逊,张正德,赵红卫,赵丽娜.人工智能赋能粒子物理与核物理学：从基础研究到重大应用[J].中国科学院院刊,2026,41(6):1089-1102.

人工智能赋能粒子物理与核物理学：从基础研究到重大应用

Artificial intelligence empowers particle physics and nuclear physics: From fundamental research to major applications

王贻芳^1*
中国科学院高能物理研究所 北京 100049
WANG Yifang^1*
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
何源²
中国科学院近代物理研究所 兰州 730000
HE Yuan²
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
黄耀³
中国科学院合肥物质科学研究院 合肥 230031
HUANG Yao³
Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
何万兵⁴
复旦大学 现代物理研究所 上海 200433
HE Wanbing⁴
Institute of Modern Physics, Fudan University, Shanghai 200433, China
焦毅¹
中国科学院高能物理研究所 北京 100049
JIAO Yi¹
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
李聪乔⁵
北京大学 物理学院 北京 100871
LI Congqiao⁵
School of Physics, Peking University, Beijing 100871, China
李科¹
中国科学院高能物理研究所 北京 100049
LI Ke¹
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
刘北江¹
中国科学院高能物理研究所 北京 100049
LIU Beijiang¹
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
马英起⁶
中国科学院国家空间科学中心 北京 100190
MA Yingqi⁶
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
马余刚^7*
华东师范大学 物理学院 上海 200062
MA Yugang^7*
School of Physics, East China Normal University, Shanghai 200062, China
庞龙刚⁸
华中师范大学 夸克与轻子物理教育部重点实验室 武汉 430079
PANG Longgang⁸
Key Laboratory of Quark and Lepton Physics (MOE), Central China Normal University, Wuhan 430079, China
齐法制¹
中国科学院高能物理研究所 北京 100049
QI Fazhi¹
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
谭思超⁹
哈尔滨工程大学 核科学与技术学院 哈尔滨 150001
TAN Sichao⁹
College of Nuclear Science and Technology, Harbin Engineering University, Harbin 150001, China
王春鹏¹⁰
中国科学院上海高等研究院 上海 201210
WANG Chunpeng¹⁰
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
王盟⁹
哈尔滨工程大学 核科学与技术学院 哈尔滨 150001
WANG Meng⁹
College of Nuclear Science and Technology, Harbin Engineering University, Harbin 150001, China
徐小恒⁶
中国科学院国家空间科学中心 北京 100190
XU Xiaoheng⁶
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
徐星²
中国科学院近代物理研究所 兰州 730000
XU Xing²
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
赵振堂¹⁰
中国科学院上海高等研究院 上海 201210
ZHAO Zhentang¹⁰
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
张英逊¹¹
中国原子能科学研究院 北京 102413
ZHANG Yingxun¹¹
China Institute of Atomic Energy, Beijing 102413, China
张正德¹
中国科学院高能物理研究所 北京 100049
ZHANG Zhengde¹
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
赵红卫²
中国科学院近代物理研究所 兰州 730000
ZHAO Hongwei²
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
赵丽娜¹
中国科学院高能物理研究所 北京 100049
ZHAO Lina¹
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China

         粒子物理;核物理;人工智能;科研范式变革

        particle physics;nuclear physics;artificial intelligence;transformation of scientific research paradigms

        粒子物理与核物理学是探索物质基本结构和宇宙起源的核心基础学科。人工智能技术的迅猛发展与深度介入正为其应对海量多模态数据处理、极端实验条件实现、理论计算突破及大科学装置智能调控等系统性挑战提供全新路径。文章系统阐述了人工智能如何深度赋能粒子物理与核物理学，尤其在物质基本结构与质量起源研究、强相互作用物质性质研究、加速器和探测器的设计与自动控制、同步辐射光源和中子源等大科学装置应用端研究、空间与核辐射环境中的辐射效应及防护技术研究，以及核电智能研发设计、运行维护与安全监管等重大应用场景中的赋能实现路径与发展趋势，以期为推动学科迈向数据驱动、智能协同、自主发现的新范式，为国家科技自立自强与前沿突破提供战略支撑。

        Particle physics and nuclear physics are core foundational disciplines for exploring the fundamental structure of matter and the origin of the universe. The deep integration of artificial intelligence (AI) technology is providing entirely new pathways to address systemic challenges such as the processing of massive amounts of multimodal data, the realization of extreme experimental conditions, bottlenecks in theoretical calculations, and the intelligent control of large-scale scientific facilities. The article systematically elaborates on how AI deeply empowers particle physics and nuclear physics, particularly in major application scenarios such as research on the fundamental structure and origin of mass of matter, the properties of strongly interacting matter, the design and automatic control of accelerators and detectors, research on large scientific facilities such as synchrotron radiation sources and neutron sources, research on radiation effects and protection technologies in space and nuclear radiation environments, and the intelligent R&D, design, operation, maintenance, and safety supervision of nuclear power plants. The aim is to promote the discipline towards a new paradigm of data-driven, intelligent collaboration, and autonomous discovery, providing strategic support for national scientific and technological self-reliance and breakthroughs at the forefront.