中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Artificial neural network for deciphering the structural transformation of condensed ZnO by extended x-ray absorption fine structure spectroscopy

文献类型:期刊论文

作者Liao, JW; Pei, JJ; Zhang, GK; An, PF; Chu, SQ; Ji, YY; Huang, H; Zhang, J; Dong, JC
刊名JOURNAL OF PHYSICS-CONDENSED MATTER
出版日期2024
卷号36期号:19页码:195402
ISSN号0953-8984
DOI10.1088/1361-648X/ad2589
文献子类Article
电子版国际标准刊号1361-648X
WOS记录号WOS:001161277400001
源URL[https://ir.ihep.ac.cn/handle/311005/305404]  
专题高能物理研究所_多学科研究中心
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GB/T 7714
Liao, JW,Pei, JJ,Zhang, GK,et al. Artificial neural network for deciphering the structural transformation of condensed ZnO by extended x-ray absorption fine structure spectroscopy[J]. JOURNAL OF PHYSICS-CONDENSED MATTER,2024,36(19):195402.
APA Liao, JW.,Pei, JJ.,Zhang, GK.,An, PF.,Chu, SQ.,...&Dong, JC.(2024).Artificial neural network for deciphering the structural transformation of condensed ZnO by extended x-ray absorption fine structure spectroscopy.JOURNAL OF PHYSICS-CONDENSED MATTER,36(19),195402.
MLA Liao, JW,et al."Artificial neural network for deciphering the structural transformation of condensed ZnO by extended x-ray absorption fine structure spectroscopy".JOURNAL OF PHYSICS-CONDENSED MATTER 36.19(2024):195402.

入库方式: OAI收割

来源:高能物理研究所

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