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Data−driven Design of Advanced Magnesium−Battery Electrolyte via Dynamic Solvation Models
Energy Environ. Sci., 2025, Accepted ManuscriptDOI: 10.1039/D5EE01304F, PaperRuimin Li, Wanyu Zhao, Zhengqing Fan, Meng Zhang, Jiayi Li, Rushuai Li, Zhi-Jun Zuo, Xiaowei YangArtificial Intelligence (AI) facilitates electrolyte screening by correlating the complex physicochemical properties of solvent/clusters with battery performance. However, modeling and interpreting the high−dimensional relationships between dynamic evolution of ion−solvent cluster...The content of this RSS Feed (c) The Royal Society of Chemistry
Energy Environ. Sci., 2025, Accepted Manuscript
DOI: 10.1039/D5EE01304F, Paper
DOI: 10.1039/D5EE01304F, Paper
Ruimin Li, Wanyu Zhao, Zhengqing Fan, Meng Zhang, Jiayi Li, Rushuai Li, Zhi-Jun Zuo, Xiaowei Yang
Artificial Intelligence (AI) facilitates electrolyte screening by correlating the complex physicochemical properties of solvent/clusters with battery performance. However, modeling and interpreting the high−dimensional relationships between dynamic evolution of ion−solvent cluster...
The content of this RSS Feed (c) The Royal Society of Chemistry
Artificial Intelligence (AI) facilitates electrolyte screening by correlating the complex physicochemical properties of solvent/clusters with battery performance. However, modeling and interpreting the high−dimensional relationships between dynamic evolution of ion−solvent cluster...
The content of this RSS Feed (c) The Royal Society of Chemistry
