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首页> 外文期刊>Physical chemistry chemical physics: PCCP >Materials space of solid-state electrolytes: unraveling chemical composition-structure-ionic conductivity relationships in garnet-type metal oxides using cheminformatics virtual screening approaches
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Materials space of solid-state electrolytes: unraveling chemical composition-structure-ionic conductivity relationships in garnet-type metal oxides using cheminformatics virtual screening approaches

机译:固态电解质的材料空间:使用化学信息学虚拟筛选方法解开石榴石型金属氧化物中的化学成分 - 结构离子电导率关系

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摘要

The organic electrolytes of most current commercial rechargeable Li-ion batteries (LiBs) are flammable, toxic, and have limited electrochemical energy windows. All-solid-state battery technology promises improved safety, cycling performance, electrochemical stability, and possibility of device miniaturization and enables a number of breakthrough technologies towards the development of new high power and energy density microbatteries for electronics with low processing cost, solid oxide fuel cells, electrochromic devices, etc. Currently, rational materials design is attracting significant attention, which has resulted in a strong demand for methodologies that can accelerate the design of materials with tailored properties; cheminformatics can be considered as an efficient tool in this respect. This study was focused on several aspects: (i) identification of the parameters responsible for high Li-ion conductivity in garnet structured oxides; (ii) development of quantitative models to elucidate composition-structure-Li ionic conductivity relationships, taking into account the experimental details of sample preparation; (iii) circumscription of the materials space of solid garnet-type electrolytes, which is attractive for virtual screening. Several candidate compounds have been recommended for synthesis as potential solid state electrolyte materials.
机译:大多数流产可充电锂离子电池(Libs)的有机电解质是易燃的,有毒的,具有有限的电化学能量窗。全固态电池技术应提高安全性,循环性能,电化学稳定性和设备小型化的可能性,并实现了许多突破性技术,以实现新的高功率和能量密度微滴乳,具有低处理成本,固体氧化物燃料目前,理性材料设计的细胞,电致变色器件等引起了显着的关注,这导致了对可以加速具有量身定制物质设计的方法的强烈需求;化学信息学可被认为是这方面的有效工具。本研究专注于若干方面:(i)鉴定石榴石结构氧化物中负责高锂离子电导率的参数; (ii)表明样品制备的实验细节,阐明了阐明组合结构 - Li离子电导关系的定量模型。 (iii)固体石榴石型电解质材料空间的形状,这对于虚拟筛选具有吸引力。已经推荐了几种候选化合物作为潜在的固态电解质材料合成。

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