{"title":"Atom substitution of the solid-state electrolyte Li10GeP2S12 for stabilized all-solid-state lithium metal batteries","authors":"Zijing Wan, Xiaozhen Chen, Ziqi Zhou, Xiaoliang Zhong, Xiaobing Luo, Dongwei Xu","doi":"10.1016/j.jechem.2023.09.001","DOIUrl":null,"url":null,"abstract":"<div><p>Solid-state electrolyte Li<sub>10</sub>GeP<sub>2</sub>S<sub>12</sub> (LGPS) has a high lithium ion conductivity of 12 mS cm<sup>−1</sup> at room temperature, but its inferior chemical stability against lithium metal anode impedes its practical application. Among all solutions, Ge atom substitution of the solid-state electrolyte LGPS stands out as the most promising solution to this interface problem. A systematic screening framework for Ge atom substitution including ionic conductivity, thermodynamic stability, electronic and mechanical properties is utilized to solve it. For fast screening, an enhanced model DopNetFC using chemical formulas for the dataset is adopted to predict ionic conductivity. Finally, Li<sub>10</sub>SrP<sub>2</sub>S<sub>12</sub> (LSrPS) is screened out, which has high lithium ion conductivity (12.58 mS cm<sup>−1</sup>). In addition, an enhanced migration of lithium ion across the LSrPS/Li interface is found. Meanwhile, compared to the LGPS/Li interface, LSrPS/Li interface exhibits a larger Schottky barrier (0.134 eV), smaller electron transfer region (3.103 Å), and enhanced ability to block additional electrons, all of which contribute to the stabilized interface. The applied theoretical atom substitution screening framework with the aid of machine learning can be extended to rapid determination of modified specific material schemes.</p></div>","PeriodicalId":67498,"journal":{"name":"能源化学","volume":"88 ","pages":"Pages 28-38"},"PeriodicalIF":14.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"能源化学","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2095495623005016","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 1
Abstract
Solid-state electrolyte Li10GeP2S12 (LGPS) has a high lithium ion conductivity of 12 mS cm−1 at room temperature, but its inferior chemical stability against lithium metal anode impedes its practical application. Among all solutions, Ge atom substitution of the solid-state electrolyte LGPS stands out as the most promising solution to this interface problem. A systematic screening framework for Ge atom substitution including ionic conductivity, thermodynamic stability, electronic and mechanical properties is utilized to solve it. For fast screening, an enhanced model DopNetFC using chemical formulas for the dataset is adopted to predict ionic conductivity. Finally, Li10SrP2S12 (LSrPS) is screened out, which has high lithium ion conductivity (12.58 mS cm−1). In addition, an enhanced migration of lithium ion across the LSrPS/Li interface is found. Meanwhile, compared to the LGPS/Li interface, LSrPS/Li interface exhibits a larger Schottky barrier (0.134 eV), smaller electron transfer region (3.103 Å), and enhanced ability to block additional electrons, all of which contribute to the stabilized interface. The applied theoretical atom substitution screening framework with the aid of machine learning can be extended to rapid determination of modified specific material schemes.
固态电解质Li10GeP2S12(LGPS)在室温下具有12 mS cm−1的高锂离子电导率,但其对锂金属阳极的化学稳定性较差,阻碍了其实际应用。在所有的解决方案中,固体电解质LGPS的Ge原子取代是解决该界面问题最有前途的方案。利用包括离子电导率、热力学稳定性、电子和机械性能在内的Ge原子取代的系统筛选框架来解决该问题。为了快速筛选,采用了使用化学公式作为数据集的增强模型DopNetFC来预测离子电导率。最后,筛选出具有高锂离子电导率(12.58 mS cm−1)的Li10SrP2S12(LSrPS)。此外,发现锂离子在LSrPS/Li界面上的迁移增强。同时,与LGPS/Li界面相比,LSrPS/Li界面表现出更大的肖特基势垒(0.134eV)、更小的电子转移区(3.103Å)和更强的阻挡额外电子的能力,所有这些都有助于稳定界面。借助机器学习的应用理论原子取代筛选框架可以扩展到快速确定修改的特定材料方案。