原子能科学技术2025，Vol.59Issue(9)：1757-1769,13.DOI:10.7538/yzk.2025.youxian.0623
人工智能赋能核科技发展:人工智能在中国原子能科学研究院的应用现状与前景展望
Development of Nuclear Science and Technology Enpowered by Artificial Intelligence:Status and Prospects of Artificial Intelligence in China Institute of Atomic Energy
杨红义 1张英逊 1高继宁 1商澄铭 1黄鹏 1王文 1余华金 1夏芸 1伍险峰 1吕兆福 1郭冰 1宋青 1朱庆福 1于婷 1安世忠 1任丽霞 1郑安然1
作者信息
- 1. 中国原子能科学研究院,北京 102413
- 折叠
摘要
Abstract
This paper aims to systematically review the application status of artificial intelligence(AI)technology across various nuclear energy research fields in the China Institute of Atomic Energy(CIAE),accurately identify existing application gaps,technical bottlenecks,and data barriers,and scientifically formulate CIAE's future AI R&D roadmap to promote development of nuclear science and technology innovation empowered by AI.Through comprehensive investigation and analysis,AI application practices in CIAE's core domains,including nuclear physics,nuclear and radiochemistry,reactors,nuclear safety,and nuclear technology applications were focused on.Representative achievements were summarized while deeply analyzing the root causes of insufficient integration between AI and the nuclear science and technology innovation chain/industrial chain.Key constraints such as the shortage of high-quality data,the need for model reliability verification,and deficiencies in computing power and network infrastructure were also evaluated.The research indicates that CIAE has proactively deployed AI applications,establishing super-computing facilities to support digital R&D and achieving breakthrough results in multiple areas.However,significant challenges are as follows:shallow integration between the AI industry chain and the nuclear field;bottlenecks in the scale,quality,and sharing mechanisms of high-quality nuclear domain training data;insufficient explain-ability of existing large models,necessitating extensive rigorous validation of their accuracy,robustness,and safety in nuclear-critical scenarios;gaps in computing power compared to international advanced levels;urgent need for intelligent upgrades of traditional scientific facilities;and inadequate existing network infrastructure to meet future data governance and model training demands.To address challenges and seize opportunities,CIAE will prioritize the following future actions:building a nuclear-intelligence converged innovation system;advancing data governance and construction platform;establishing a nuclear domain foundation model platform;creating a comprehensive nuclear science and technology research platform.关键词
原子能院/人工智能/核能技术/智能装备/数据治理/模型可靠性/核智融合Key words
China Institute of Atomic Energy/artificial intelligence/nuclear energy technology/intelli-gent equipment/data governance/model reliability/nuclear-intelligence convergence分类
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杨红义,张英逊,高继宁,商澄铭,黄鹏,王文,余华金,夏芸,伍险峰,吕兆福,郭冰,宋青,朱庆福,于婷,安世忠,任丽霞,郑安然..人工智能赋能核科技发展:人工智能在中国原子能科学研究院的应用现状与前景展望[J].原子能科学技术,2025,59(9):1757-1769,13.
