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Charting the known chemical space for non-aqueous Lithium-air battery electrolyte solvents

机译:绘制非水锂空气电池的已知化学空间   电解质溶剂

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摘要

The Li-Air battery is a very promising candidate for powering futuremobility, but finding a suitable electrolyte solvent for this technology turnedout to be a major problem. We present a systematic computational investigationof the known chemical space for possible Li-Air electrolyte solvents. It isshown that the problem of finding better Li-Air electrolyte solvents is notonly - as previously suggested - about maximizing Li+ and O2- solubilities, butabout finding the optimal balance of these solubilities with the viscosity ofthe solvent. As our results also show that trial-and-error experiments on knownchemicals are unlikely to succeed, full chemical sub-spaces for the mostpromising compound classes are investigated, and suggestions are made forfurther experiments. The proposed screening approach is transferable and robustand can readily be applied to optimize electrolytes for other electrochemicaldevices. It goes beyond the current state-of-the-art both in width (consideringthe number of compounds screened and the way they are selected), as well asdepth (considering the number and complexity of properties included).
机译:锂空气电池是为未来交通提供动力的非常有前途的候选者,但是找到适合该技术的合适电解质溶剂却是一个主要问题。我们对可能的Li-Air电解质溶剂的已知化学空间进行系统的计算研究。结果表明,发现更好的锂空气电解质溶剂的问题不仅如先前所建议的那样,不仅要使Li +和O2-的溶解度最大化,而且要找到这些溶解度与溶剂粘度的最佳平衡。正如我们的结果还表明,对已知化学物质的反复试验不太可能成功,因此对最有前景的化合物类别的完整化学子空间进行了研究,并提出了进一步实验的建议。所提出的筛选方法是可转移的且坚固的,并且可以容易地应用于优化其他电化学装置的电解质。它在宽度(考虑筛选化合物的数量和选择方式)以及深度(考虑所含特性的数量和复杂性)方面都超出了当前的最新水平。

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