摘要
由于等离子体固有的特性,其计算过程通常耗时较长。尽管传统方法已经能够成功求解不同类型的系统,但随着系统复杂性的增加,找到快速高效的求解方法成为研究人员面临的一大难题。近年来,人工智能技术发展迅猛,许多涉及复杂物理过程的算法和网络相继涌现,逐渐成为等离子体仿真研究的重要助力。本文综述了人工智能在计算等离子体领域中的应用,探讨了近年来该领域的发展与前沿,分析了不同网络的优缺点,并展望了人工智能在等离子体仿真中的未来发展方向。
Due to the inherent characteristics of plasma,the computation process is usually time-consuming.Although the traditional methods have been able to successfully solve different types of systems,with the increasing complexity of systems,fast and efficient solving methods have become a major challenge for researchers.In recent years,the artificial intelligence technology has developed rapidly,and many algorithms and networks involving complex physical processes have emerged successively,gradually becoming a great help in plasma simulation research.This paper reviews the applications of artificial intelligence in the fields of computational plasma,discusses the development and frontier of this field in recent years,analyzes the advantages and disadvantages of different networks,and looks forward to the future development direction of artificial intelligence in the plasma simulation.
作者
户金铭
孙铭言
许鹏
张俊杰
王建国
HU Jinming;SUN Mingyan;XU Peng;ZHANG Junjie;WANG Jianguo(92609 PLA Troops,Beijing 100077,China;Xi’an High-Tech Research Institute,Xi’an 710021,China;Northwest Institute of Nuclear Technology,Xi’an 710024,China)
出处
《电波科学学报》
CSCD
北大核心
2024年第5期905-914,共10页
Chinese Journal of Radio Science
基金
国家自然科学基金青年项目(12105227)。
关键词
等离子体
人工智能
电磁仿真
智能科学计算
神经网络
plasma
artificial intelligence
computational electromagnetics
AI for science
neural network