真空电子技术Issue(3)：1-12,12.DOI:10.16540/j.cnki.cn11-2485/tn.2026.03.01
机器学习在真空电子器件设计中的应用
Application of Machine Learning in Design of Vacuum Electronic Devices
温馨 1陈昭福 1沈长圣 1潘攀 2柏宁丰1
作者信息
- 1. 东南大学电子科学与工程学院,江苏南京 210096
- 2. 北京真空电子技术研究所,北京 100015
- 折叠
摘要
Abstract
Conventional design methods for vacuum electronic devices are limited by strongly nonlinear mul-tiphysics couplings and inefficient exploration of high-dimensional parameter spaces.Machine learning is driving a shift from experience-based design to data-physics collaborative design with its ability of high-dimensional nonlin-ear mapping and data-driven learning.A systematic review of machine learning applications in core vacuum elec-tronic device components is presented.Recent advances in electromagnetic device design are first summarized.Key technical approaches are then analyzed by component category,including surrogate-based forward prediction,multi-objective evolutionary optimization,intelligent inverse design,and operational state diagnosis.The results demon-strate that machine learning can effectively reduce design cycles,balance competing performance metrics,and im-prove system robustness.关键词
真空电子器件/机器学习/神经网络Key words
Vacuum electronic devices/Machine learning/Neural networks分类
信息技术与安全科学引用本文复制引用
温馨,陈昭福,沈长圣,潘攀,柏宁丰..机器学习在真空电子器件设计中的应用[J].真空电子技术,2026,(3):1-12,12.
