Two-Step Growth Mechanism of the Solid Electrolyte Interphase in Argyrodyte/Li-Metal Contacts

被引:6
作者
Chaney, Gracie [1 ]
Golov, Andrey [2 ]
van Roekeghem, Ambroise [1 ]
Carrasco, Javier [2 ,3 ]
Mingo, Natalio [1 ]
机构
[1] Univ Grenoble Alpes, CEA, LITEN, F-38054 Grenoble, France
[2] Ctr Cooperat Res Alternat Energies CIC EnergiGUNE, Basque Res & Technol Alliance BRTA, Vitoria 01510, Spain
[3] Basque Fdn Sci, Ikerbasque, Bilbao 48009, Spain
关键词
machine learning; interatomicpotentials; solid-stateelectrolyte; battery; solid-electrolyte interphase; STABILITY; POTENTIALS; BATTERIES; DYNAMICS; ANODE; MODEL; SAFE;
D O I
10.1021/acsami.4c02548
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
The structure and growth of the solid electrolyte interphase (SEI) region between an electrolyte and an electrode is one of the most fundamental yet less well-understood phenomena in solid-state batteries. We present an atomistic simulation of the SEI growth for one of the currently promising solid electrolytes (Li6PS5Cl), based on ab initio-trained machine learning interatomic potentials, for over 30,000 atoms during 10 ns, well beyond the capabilities of conventional molecular dynamics. This unveils a two-step growth mechanism: a Li-argyrodite chemical reaction leading to the formation of an amorphous phase, followed by a kinetically slower crystallization of the reaction products into a 5Li(2)S<middle dot>Li3P<middle dot>LiCl solid solution. The simulation results support the recent, experimentally founded hypothesis of an indirect pathway of electrolyte reduction. These findings shed light on the intricate processes governing SEI evolution, providing a valuable foundation for the design and optimization of next-generation solid-state batteries.
引用
收藏
页码:24624 / 24630
页数:7
相关论文
共 43 条
[1]   Generalized neural-network representation of high-dimensional potential-energy surfaces [J].
Behler, Joerg ;
Parrinello, Michele .
PHYSICAL REVIEW LETTERS, 2007, 98 (14)
[2]   Perspective: Machine learning potentials for atomistic simulations [J].
Behler, Joerg .
JOURNAL OF CHEMICAL PHYSICS, 2016, 145 (17)
[3]   Constructing high-dimensional neural network potentials: A tutorial review [J].
Behler, Joerg .
INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, 2015, 115 (16) :1032-1050
[4]   Machine Learning Force Fields: Construction, Validation, and Outlook [J].
Botu, V. ;
Batra, R. ;
Chapman, J. ;
Ramprasad, R. .
JOURNAL OF PHYSICAL CHEMISTRY C, 2017, 121 (01) :511-522
[5]   Exploring interfacial stability of solid-state electrolytes at the lithium-metal anode surface [J].
Camacho-Forero, Luis E. ;
Balbuena, Perla B. .
JOURNAL OF POWER SOURCES, 2018, 396 :782-790
[6]   EFFECT OF PRESSURE ON CRYSTALLIZATION KINETICS OF CORDIERITE GLASS [J].
CHASON, E ;
AZIZ, MJ .
JOURNAL OF NON-CRYSTALLINE SOLIDS, 1991, 130 (02) :204-210
[7]   Sulfide solid electrolytes for all-solid-state lithium batteries: Structure, conductivity, stability and application [J].
Chen, Shaojie ;
Xie, Dongjiu ;
Liu, Gaozhan ;
Mwizerwa, Jean Pierre ;
Zhang, Qiang ;
Zhao, Yanran ;
Xu, Xiaoxiong ;
Yao, Xiayin .
ENERGY STORAGE MATERIALS, 2018, 14 :58-74
[8]   Annealing of poly (ethylene terephthalate) [J].
Chen, Ziyu ;
Jenkins, M. J. ;
Hay, J. N. .
EUROPEAN POLYMER JOURNAL, 2014, 50 :235-242
[9]   Quantum Mechanics Reactive Dynamics Study of Solid Li-Electrode/Li6PS5Cl-Electrolyte Interface [J].
Cheng, Tao ;
Merinov, Boris V. ;
Morozov, Sergey ;
Goddard, William A., III .
ACS ENERGY LETTERS, 2017, 2 (06) :1454-1459
[10]   Recent Advances in Energy Chemistry between Solid-State Electrolyte and Safe Lithium-Metal Anodes [J].
Cheng, Xin-Bing ;
Zhao, Chen-Zi ;
Yao, Yu-Xing ;
Liu, He ;
Zhang, Qiang .
CHEM, 2019, 5 (01) :74-96