Synchrotron radiation data-driven artificial intelligence approaches in materials discovery
文献类型：期刊论文
| 作者 | Li, Qingmeng; Xing, Rongchang; Li, Linshan; Yao, Haodong; Wu, Liyuan; Zhao, Lina |
| 刊名 | Artificial Intelligence Chemistry
 |
| 出版日期 | 2024 |
| 卷号 | 2期号:1页码:100045 |
| ISSN号 | 2949-7477 |
| DOI | 10.1016/j.aichem.2024.100045 |
| 文献子类 | Article |
| 源URL | [https://ir.ihep.ac.cn/handle/311005/307006]  |
| 专题 | 高能物理研究所_多学科研究中心 |
| 推荐引用方式 GB/T 7714 | Li, Qingmeng,Xing, Rongchang,Li, Linshan,et al. Synchrotron radiation data-driven artificial intelligence approaches in materials discovery[J]. Artificial Intelligence Chemistry,2024,2(1):100045. |
| APA | Li, Qingmeng,Xing, Rongchang,Li, Linshan,Yao, Haodong,Wu, Liyuan,&Zhao, Lina.(2024).Synchrotron radiation data-driven artificial intelligence approaches in materials discovery.Artificial Intelligence Chemistry,2(1),100045. |
| MLA | Li, Qingmeng,et al."Synchrotron radiation data-driven artificial intelligence approaches in materials discovery".Artificial Intelligence Chemistry 2.1(2024):100045. |
入库方式： OAI收割
来源：高能物理研究所
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