中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Deep-Learning-Enabled Crack Detection and Analysis in Commercial Lithium-Ion Battery Cathodes

文献类型:期刊论文

作者Fu, Tianyu; Monaco, Federico; Li, Jizhou; Zhang, Kai; Yuan, Qingxi; Cloetens, Peter; Pianetta, Piero; Liu, Yijin
刊名ADVANCED FUNCTIONAL MATERIALS
出版日期2022
卷号32期号:39页码:2203070
ISSN号1616-301X
DOI10.1002/adfm.202203070
文献子类Article
电子版国际标准刊号1616-3028
语种英语
WOS记录号WOS:000812885800001
源URL[http://ir.ihep.ac.cn/handle/311005/299130]  
专题高能物理研究所_多学科研究中心
作者单位中国科学院高能物理研究所
推荐引用方式
GB/T 7714
Fu, Tianyu,Monaco, Federico,Li, Jizhou,et al. Deep-Learning-Enabled Crack Detection and Analysis in Commercial Lithium-Ion Battery Cathodes[J]. ADVANCED FUNCTIONAL MATERIALS,2022,32(39):2203070.
APA Fu, Tianyu.,Monaco, Federico.,Li, Jizhou.,Zhang, Kai.,Yuan, Qingxi.,...&Liu, Yijin.(2022).Deep-Learning-Enabled Crack Detection and Analysis in Commercial Lithium-Ion Battery Cathodes.ADVANCED FUNCTIONAL MATERIALS,32(39),2203070.
MLA Fu, Tianyu,et al."Deep-Learning-Enabled Crack Detection and Analysis in Commercial Lithium-Ion Battery Cathodes".ADVANCED FUNCTIONAL MATERIALS 32.39(2022):2203070.

入库方式: OAI收割

来源:高能物理研究所

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