journal article·2022-12

Reclaiming Neglected Compounds as Promising Solid State Electrolytes by Predicting Electrochemical Stability Window with Dynamically Determined Decomposition Pathway

Shen Lin, Yuxiao Lin, Bing He, Bowei Pu, Yuan Ren, Guoxin Wang, Yaqiao Luo, Siqi Shi

Advanced Energy Materials· Volume 12· Issue 45
Publisher page

Abstract

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 (Li10GeP2S12 and Li7La3Zr2O12). 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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Research context

OpenAlex topics: Advanced Battery Materials and Technologies · Advancements in Battery Materials · Inorganic Chemistry and Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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 China

Materials Genome Institute Shanghai University Shanghai 200444 China

Zhejiang Laboratory Hangzhou 311100 China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · State Key Laboratory of Advanced Special Steel

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