机器学习在集成器件TCAD教学中的应用  

Application of Machine Learning in TCAD Teaching of Integrated Devices

作　　者：陈静[1,2] 郭宇锋 杨可萌[1,2] CHEN Jing;GUO Yufeng;YANG Kemeng(College of Integrated Circuit Science and Engineering,Nanjing University of Posts and Telecommunications,Jiangsu 210003,China;National and Local Joint Engineering Laboratory for RF Integration and Microassembly Technology,Jiangsu 210023,China)

机构地区：[1]南京邮电大学集成电路科学与工程学院,江苏210003 [2]射频集成与微组装技术国家地方联合工程实验室,江苏210023

出　　处：《集成电路应用》2024年第7期64-65,共2页Application of IC

基　　金：MOS场效应晶体管虚拟制造与虚拟测试实验教学项目(SYS2017SXF03)。

摘　　要：阐述机器学习技术的优势,分析其在集成器件TCAD技术中的应用特点。针对TCAD技术课程现状,提出基于机器学习的集成器件特征提取、电学性能建模、优化设计技术,以增强TCAD技术应用。This paper describes the advantages of machine learning technology and analyzes its application characteristics in integrated device TCAD technology.It proposes machine learning based integrated device feature extraction,electrical performance modeling,and optimization design techniques to enhance the application of TCAD technology in response to the current status of TCAD technology courses.

关 键 词：机器学习 特征提取 器件仿真 优化设计 

分 类 号：TN40[电子电信—微电子学与固体电子学] TP18[自动化与计算机技术—控制理论与控制工程]