中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Prediction of JTE breakdown performance in SiC PiN diode radiation detectors using TCAD augmented machine learning

文献类型:期刊论文

作者Lin, L; Wang, XK; Hu, J
刊名NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
出版日期2024
卷号1061页码:169102
ISSN号0168-9002
DOI10.1016/j.nima.2024.169102
文献子类Article
电子版国际标准刊号1872-9576
WOS记录号WOS:001164157300001
源URL[https://ir.ihep.ac.cn/handle/311005/306194]  
专题高能物理研究所_东莞分部
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Lin, L,Wang, XK,Hu, J. Prediction of JTE breakdown performance in SiC PiN diode radiation detectors using TCAD augmented machine learning[J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT,2024,1061:169102.
APA Lin, L,Wang, XK,&Hu, J.(2024).Prediction of JTE breakdown performance in SiC PiN diode radiation detectors using TCAD augmented machine learning.NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT,1061,169102.
MLA Lin, L,et al."Prediction of JTE breakdown performance in SiC PiN diode radiation detectors using TCAD augmented machine learning".NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 1061(2024):169102.

入库方式: OAI收割

来源:高能物理研究所

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