Machine-learning-driven simulations on microstructure, thermodynamic properties, and transport properties of LiCl-KCl-LiF molten salt
文献类型：期刊论文
| 作者 | Qi, Si-Min; Bo, Tao; Zhang, Lei; Chai, Zhi-Fang; Shi, Wei-Qun |
| 刊名 | Artificial Intelligence Chemistry
 |
| 出版日期 | 2024 |
| 卷号 | 2期号:1页码:100027 |
| ISSN号 | 2949-7477 |
| DOI | 10.1016/j.aichem.2023.100027 |
| 文献子类 | Article |
| 源URL | [https://ir.ihep.ac.cn/handle/311005/307005]  |
| 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 | Qi, Si-Min,Bo, Tao,Zhang, Lei,et al. Machine-learning-driven simulations on microstructure, thermodynamic properties, and transport properties of LiCl-KCl-LiF molten salt[J]. Artificial Intelligence Chemistry,2024,2(1):100027. |
| APA | Qi, Si-Min,Bo, Tao,Zhang, Lei,Chai, Zhi-Fang,&Shi, Wei-Qun.(2024).Machine-learning-driven simulations on microstructure, thermodynamic properties, and transport properties of LiCl-KCl-LiF molten salt.Artificial Intelligence Chemistry,2(1),100027. |
| MLA | Qi, Si-Min,et al."Machine-learning-driven simulations on microstructure, thermodynamic properties, and transport properties of LiCl-KCl-LiF molten salt".Artificial Intelligence Chemistry 2.1(2024):100027. |
入库方式： OAI收割
来源：高能物理研究所
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