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![]() |
刊名 | ADVANCED FUNCTIONAL MATERIALS
![]() |
出版日期 | 2022 |
卷号 | 32期号:39页码:2203070 |
ISSN号 | 1616-301X |
DOI | 10.1002/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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。