Benchmarking of computational approaches for fast screening of lithium ion battery electrolyte solvents

被引:12
|
作者
Kim, Daejin [1 ]
Guk, Hyein [1 ]
Choi, Seung-Hoon [1 ]
Chung, Dong Hyen [1 ]
机构
[1] Insilico Co Ltd, C-602,Korea Bio Pk,700 Daewangpangyo Ro, Seongnam Si 463400, Gyeonggi Do, South Korea
关键词
Lithium-ion batteries; Electrolyte solvents; Density functional theory calculations; Semi-empirical calculations; Benchmarking; Screening; GENERALIZED GRADIENT APPROXIMATION; SEMIEMPIRICAL METHODS; POLYATOMIC-MOLECULES; CORRELATION-ENERGY; PARAMETERS; DENSITY; ADDITIVES; OPTIMIZATION; FUNCTIONALS; CARBONATE;
D O I
10.1016/j.cplett.2017.05.062
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Electrolyte solvents play an important role in lithium-ion batteries. Hence, investigation of the solvent is key to improving battery functionality. We performed benchmark calculations to suggest the best conditions for rapid screening of electrolyte candidates using semi-empirical (SEM) calculations and density functional theory (DFT). A wide selection of Hamiltonians, DFT levels, and basis sets were used for this benchmarking with typical electrolyte solvents. The most efficient condition for reducing computational costs and time is VWN/DNP+ for DFT levels and PM3 for SEM Hamiltonians. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:64 / 68
页数:5
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