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High-throughput computational screening for solid-state Li-ion conductors
Energy & Environmental Science ( IF 33.250 ) Pub Date : 2020/01/10 , DOI: 10.1039/c9ee02457c
Leonid Kahle; Aris Marcolongo; Nicola Marzari

We present a computational screening of experimental structural repositories for fast Li-ion conductors, with the goal of finding new candidate materials for application as solid-state electrolytes in next-generation batteries. We start from ∼1400 unique Li-containing materials, of which ∼900 are insulators at the level of density-functional theory. For those, we calculate the diffusion coefficient in a highly automated fashion, using extensive molecular dynamics simulations on a potential energy surface (the recently published pinball model) fitted on first-principles forces. The ∼130 most promising candidates are studied with full first-principles molecular dynamics, including an estimate of the activation barrier for the most diffusive structures. The results of the first-principles simulations of the candidate solid-state electrolytes found are discussed in detail.
更新日期:2020-02-13

 

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