Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries.

ABSTRACT: NASICON-type LiZr₂(PO₄)₃ (LZP) has attracted significant attention as a solid oxide electrolyte for all-solid-state Li-ion or Li-metal batteries owing to its high Li-ion conductivity, usability in all-solid-state batteries, and electrochemical stability against Li metal. In this study, we aim to improve the Li-ion conductivity of Li-rich NASICON-type LZPs doped with CaO and SiO₂, i.e., Li_1+x+2y Ca _y Zr_2-y Si _x P_3-x O₁₂(0 ≤ x ≤ 0.3, 0 ≤ y ≤ 0.3) (LCZSP). Herein, a total of 49 compositions were synthesised, and their crystal structures, relative densities, and Li-ion conductivities were characterised experimentally. We co

SUBMITTER: Fukuda H 

PROVIDER: S-EPMC9597857 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature