电解质
分解
材料科学
电化学
相容性(地球化学)
电化学窗口
理论(学习稳定性)
吞吐量
计算机科学
离子电导率
电极
化学
物理化学
复合材料
电信
有机化学
机器学习
无线
作者
Shen Lin,Yuxiao Lin,Bing He,Bowei Pu,Yuan Ren,Guoxin Wang,Ya-Qiao Luo,Siqi Shi
标识
DOI:10.1002/aenm.202201808
摘要
Abstract 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 high‐throughput 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 2 S 12 and Li 7 La 3 Zr 2 O 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.
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