Deep-Learning-Guided High-Throughput Evaluation of Ligands for Selective Sr/Cs Coordination

Deep-Learning-Guided High-Throughput Evaluation of Ligands for Selective Sr/Cs Coordination

From a coordination chemistry perspective, we aimed to advance the knowledge of Sr/Cs separation in the scheme of spent nuclear fuel reprocessing. Based on data mining of crystal structures and deep learning architecture, we summarized and analyzed coordination chemistry properties of Sr/Cs from com...

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Bibliographic Details
Main Authors: ZHANG Zhi-yuan, DONG Yue, QIU Yu-qing, BI Ke-xin, HU Kong-qiu, DAI Yi-yang, ZHOU Li, LIU Chong, JI Xu, SHI Wei-qun
Format: Article
Language:zho
Published: Editorial Office of Journal of Nuclear and Radiochemistry 2023-10-01
Series:He huaxue yu fangshe huaxue
Subjects:
deep learning
bayesian optimization
spent nuclear fuel reprocessing
sr/cs separation
Online Access:http://www.jnrc.org.cn/CN/10.7538/hhx.2023.45.05.0456

Internet

http://www.jnrc.org.cn/CN/10.7538/hhx.2023.45.05.0456

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