首页> 外文期刊>Advanced energy materials >Reclaiming Neglected Compounds as Promising Solid State Electrolytes by Predicting Electrochemical Stability Window with Dynamically Determined Decomposition Pathway
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Reclaiming Neglected Compounds as Promising Solid State Electrolytes by Predicting Electrochemical Stability Window with Dynamically Determined Decomposition Pathway

机译:通过动态确定分解途径预测电化学稳定性窗口,将被忽视的化合物回收为有前途的固态电解质

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摘要

The accurate prediction of the electrochemical stability windows (ESWs) enables the rational design of solid state electrolytes (SSEs). Currently, the ESW prediction is based on direct and indirect decomposition analysis methods (DDAM and IDAM). However, DDAM/IDAM can only involve thermodynamically/ kinetically favorable decomposition pathway, both resulting in the large deviation between the predicted ESW and the experimental one. Specifically, certain excellent candidate SSEs may be continuously neglected in the highthroughput screening due to underpredicted ESWs. Herein, a high-accuracy ESW prediction method is proposed enabling dynamical determination of the appropriate decomposition pathway by analyzing the electronic conductivities of all direct and indirect decomposition products. Following this, a high-throughput computation is performed on the ESWs of 328 possible fast Li-ion conductors with low ionic migration energy barriers from the previous research, obtaining good agreement with the available experimental results (Li_(10)GeP_2S_(12) and Li_7La_3Zr_2O_(12)). Furthermore, six previously neglected fluorides exhibiting ESWs over 4 V, oxidation potentials exceeding 6 V, excellent phase stability, and interfacial compatibility with seven typical cathodes are reclaimed as promising SSEs. This work demonstrates a strategy to accelerate the SSE development by improving the accuracy of the ESW prediction and enlarging the database of promising SSEs.
机译:电化学稳定性窗口 (ESW) 的准确预测使固态电解质 (SSE) 的合理设计成为可能。目前,ESW预测基于直接和间接分解分析方法(DDAM和IDAM)。然而,DDAM/IDAM只能涉及热力学/动力学上有利的分解途径,导致预测的ESW与实验的ESW之间存在较大偏差。具体而言,由于ESW被低估,某些优秀的候选SSE可能会在高通量筛选中持续被忽视。在此,提出了一种高精度的ESW预测方法,通过分析所有直接和间接分解产物的电子电导率,能够动态确定合适的分解途径。在此基础上,对328种可能具有低离子迁移能垒的快速锂离子导体的ESW进行了高通量计算,与现有实验结果(Li_(10)GeP_2S_(12)和Li_7La_3Zr_2O_(12))进行了较好的一致性。此外,六种以前被忽视的氟化物表现出超过4 V的ESW,超过6 V的氧化电位,优异的相稳定性以及与七种典型阴极的界面相容性,被回收为有前途的SSE。本工作展示了一种通过提高ESW预测的准确性和扩大有前途的SSE数据库来加速SSE发展的策略。

著录项

  • 来源
    《Advanced energy materials》 |2022年第45期|2201808.1-2201808.13|共13页
  • 作者单位

    State Key Laboratory of Advanced Special Steel & Shanghai Key Laboratory of Advanced Ferrometallurgy & School of Materials Science and Engineering Shanghai University Shanghai 200444, China;

    School of Physics and Electronic Engineering Jiangsu Normal University Xuzhou 221116, China;

    School of Computer Engineering and Science Shanghai University Shanghai 200444, ChinaState Key Laboratory of Advanced Special Steel & Shanghai Key Laboratory of Advanced Ferrometallurgy & School of Materials Science and Engineering Shanghai University Shanghai 200444, China,Materials Genome Institute Shanghai University Shanghai 200444, C;

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  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类
  • 关键词

    decomposition pathways; electrochemical stability window; highthroughput screening; solid state electrolytes;

    机译:分解途径;电化学稳定性窗口;高通量筛选;固态电解质;
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