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Exploring solvation structure and transport behavior for rational design of advanced electrolytes for next generation of lithium batteries
Applied Physics Reviews ( IF 11.9 ) Pub Date : 2024-04-12 , DOI: 10.1063/5.0187154 Xiaozhao Liu 1 , Volodymyr Koverga 2, 3 , Hoai T. Nguyen 4 , Anh T. Ngo 2, 3 , Tao Li 1, 5
Applied Physics Reviews ( IF 11.9 ) Pub Date : 2024-04-12 , DOI: 10.1063/5.0187154 Xiaozhao Liu 1 , Volodymyr Koverga 2, 3 , Hoai T. Nguyen 4 , Anh T. Ngo 2, 3 , Tao Li 1, 5
Affiliation
The efficacy of electrolytes significantly affects battery performance, leading to the development of several strategies to enhance them. Despite this, the understanding of solvation structure remains inadequate. It is imperative to understand the structure–property–performance relationship of electrolytes using diverse techniques. This review explores the recent advancements in electrolyte design strategies for high capacity, high-voltage, wide-temperature, fast-charging, and safe applications. To begin, the current state-of-the-art electrolyte design directions are comprehensively reviewed. Subsequently, advanced techniques and computational methods used to understand the solvation structure are discussed. Additionally, the importance of high-throughput screening and advanced computation of electrolytes with the help of machine learning is emphasized. Finally, future horizons for studying electrolytes are proposed, aimed at improving battery performance and promoting their application in various fields by enhancing the microscopic understanding of electrolytes.
中文翻译:
探索溶剂化结构和传递行为,为下一代锂电池的先进电解质进行合理设计
电解质的功效会显着影响电池性能,导致开发了几种增强电解质的策略。尽管如此,对溶剂化结构的理解仍然不足。必须使用各种技术了解电解质的结构-性能-性能关系。本文探讨了高容量、高电压、宽温、快速充电和安全应用的电解质设计策略的最新进展。首先,全面回顾了当前最先进的电解质设计方向。随后,讨论了用于理解溶剂化结构的先进技术和计算方法。此外,还强调了在机器学习的帮助下进行高通量筛选和电解质高级计算的重要性。最后,提出了研究电解质的未来视野,旨在通过增强对电解质的微观理解来提高电池性能并促进其在各个领域的应用。
更新日期:2024-04-12
中文翻译:

探索溶剂化结构和传递行为,为下一代锂电池的先进电解质进行合理设计
电解质的功效会显着影响电池性能,导致开发了几种增强电解质的策略。尽管如此,对溶剂化结构的理解仍然不足。必须使用各种技术了解电解质的结构-性能-性能关系。本文探讨了高容量、高电压、宽温、快速充电和安全应用的电解质设计策略的最新进展。首先,全面回顾了当前最先进的电解质设计方向。随后,讨论了用于理解溶剂化结构的先进技术和计算方法。此外,还强调了在机器学习的帮助下进行高通量筛选和电解质高级计算的重要性。最后,提出了研究电解质的未来视野,旨在通过增强对电解质的微观理解来提高电池性能并促进其在各个领域的应用。