Chemical Reaction Networks Explain Gas Evolution Mechanisms in Mg-Ion Batteries

被引:18
|
作者
Spotte-Smith, Evan Walter Clark [1 ,2 ]
Blau, Samuel M. [3 ]
Barter, Daniel [3 ]
Leon, Noel J. [4 ]
Hahn, Nathan T. [5 ]
Redkar, Nikita S. [6 ]
Zavadil, Kevin R. [5 ]
Liao, Chen [4 ]
Persson, Kristin A. [2 ,7 ]
机构
[1] Lawrence Berkeley Natl Lab, Mat Sci Div, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, Dept Mat Sci & Engn, Berkeley, CA 94720 USA
[3] Lawrence Berkeley Natl Lab, Energy Storage & Distributed Resources, Berkeley, CA 94720 USA
[4] Argonne Natl Lab, Lemont, IL 60439 USA
[5] Sandia Natl Labs, Mat Phys & Chem Sci Ctr, Albuquerque, NM 87123 USA
[6] Univ Calif Berkeley, Dept Chem & Biomol Engn, Berkeley, CA 94720 USA
[7] Lawrence Berkeley Natl Lab, Mol Foundry, Berkeley, CA 94720 USA
关键词
STOCHASTIC SIMULATION; MAGNESIUM; STABILITY; CHEMISTRY; SOLVENTS; SURFACE; HYBRID; STATE; ELECTROLYTES; PREDICTION;
D O I
10.1021/jacs.3c02222
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Out-of-equilibrium electrochemical reaction mechanismsare notoriouslydifficult to characterize. However, such reactions are critical fora range of technological applications. For instance, in metal-ionbatteries, spontaneous electrolyte degradation controls electrodepassivation and battery cycle life. Here, to improve our abilityto elucidate electrochemical reactivity, we for the first time combinecomputational chemical reaction network (CRN) analysis based on densityfunctional theory (DFT) and differential electrochemical mass spectroscopy(DEMS) to study gas evolution from a model Mg-ion battery electrolyte-magnesium bistriflimide (Mg-(TFSI)(2)) dissolved in diglyme (G2). AutomatedCRN analysis allows for the facile interpretation of DEMS data, revealingH(2)O, C2H4, and CH3OH asmajor products of G2 decomposition. These findings are further explainedby identifying elementary mechanisms using DFT. While TFSI- is reactive at Mg electrodes, we find that it does not meaningfullycontribute to gas evolution. The combined theoretical-experimentalapproach developed here provides a means to effectively predict electrolytedecomposition products and pathways when initially unknown.
引用
收藏
页码:12181 / 12192
页数:12
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