摘要
科学计算在核工业整个技术体系中发挥着至关重要的作用,从核基础数据库的建立,到核能工程的设计、分析、验证、运行,乃至燃料后处理与反应堆退役,科学计算扮演着关键角色。传统上,工业领域的科学计算范式主要是基于实验测量数据建模的统计学方法,以及求解微/积分方程为代表的数值计算方法。随着新一代人工智能技术的发展,利用人工智能方法进行科学计算,正在逐渐发展成为一种新的科学计算范式。本文介绍了这一新兴技术领域的基本原理与主要特征,重点围绕核工业的特点,总结了当前已有研究工作的情况,并对照传统方法,分析了人工智能科学计算方法的优缺点。最后,展望了这种智能计算方法未来在核工业领域的技术发展趋势与潜在应用模式,给出了推动核工业人工智能科学计算新范式发展的建议。
Scientific computation is pivotal throughout the nuclear industry's technical framework,encompassing everything from the creation of nuclear databases to the design,analysis,validation,and operation of nuclear power engineering,as well as the reprocessing of nuclear fuel and the decommissioning of reactors.Historically,the scientific computing paradigm in the industrial field is mainly based on statistical methods for modeling experimental measurement data,as well as numerical computing methods represented by solving differential/integral equations.As artificial intelligence(AI)technology advances,leveraging AI for scientific computation is emerging as a novel paradigm.This paper introduces the basic principles and main features of this emerging technology field,focusing on the characteristics of the nuclear industry.It summarizes the current research work and analyzes the advantages and disadvantages of artificial intelligence scientific computing methods compared to traditional methods.The paper concludes with a prospective look at the future development trends of intelligent computation in the nuclear field,along with potential application scenarios,offering insights to foster the evolution of AI in scientific computation within the nuclear industry.
作者
刘东
田文喜
刘晓晶
郝琛
彭航
于洋
肖聪
Liu Dong;Tian Wenxi;Liu Xiaojing;Hao Chen;Peng Hang;Yu Yang;Xiao Cong(State Key Laboratory of Advanced Nuclear Energy Technology,Nuclear Power Institute of China,Chengdu,610213,China;Nuclear Energy Software and Digital Reactor Engineering Research Center of CNNC,Nuclear Power Institute of China,Chengdu,610213,China;Committee on Science and Technology of China National Nuclear Corporation,Beijing,100045,China;School of Nuclear Science and Technology,Xi'an Jiaotong University,Xi’an,710049,China;School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai,200240,China;Nuclear Power Simulation Research Center,Harbin Engineering University,Harbin,150001,China)
出处
《核动力工程》
北大核心
2025年第2期1-13,I0003,共14页
Nuclear Power Engineering
基金
国家高层次人才特殊支持计划创新领军人才基金(J705981200002001)
四川省揭榜挂帅行业共性技术攻关项目(2023YFG0373)
国家基础性科研院所基础科研稳定支持专项(WDZC-2023-05-03-05)。
关键词
核工业
人工智能
科学计算
数据驱动
智能计算方法
Nuclear industry
Artificial intelligence
Scientific computing
Data-driven
Intelligent computation
