Accelerated Exploration of Fast Fluoride-Ion Conductors Based on Compositional Descriptors
Naoki Matsui,
Tomoaki Seki,
Kota Suzuki
et al.
Abstract:The exploration of fast fluoride-ion conductors, which can be applied as solid electrolytes of all-solid-state fluoride-ion batteries, requires generalized material design principles. Herein, we used regression learning based on compositional descriptors to predict fluoride-ion conductivity, revealing that random forest regression, mainly considering cation polarizability, enables conductivity prediction in unexplored compositional spaces. Composition-based material exploration aided in identifying compounds w… Show more
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