Abstract
Experimental Bayesian optimization for Li ion conductivity in NASICON-type LiZr2(PO4)3.
Highlights
With the increasing popularity of electric vehicles, batteries with improved energy density and safety are required.[1,2] Liquid electrolytes are commonly used in Li-ion batteries
The grain boundary and void images were clearly visible for the sample that did not contain Ca (Y0.126/ Ca0), and the relative density was only 60.4%, which indicates that Ca has a sintering-aid effect
These results indicated that the compositional dependence of Li-ion conductivity is rather complicated, which makes the conventional search for the optimal composition relying on experience and intuition highly challenging
Summary
With the increasing popularity of electric vehicles, batteries with improved energy density and safety are required.[1,2] Liquid electrolytes are commonly used in Li-ion batteries. Their ammability poses safety concerns, and replacements with non- ammable solid electrolytes to fabricate all-solid-state. The a-phase changes to the a0-phase at 40 C (Fig. 1(a)), and the b-phase changes to the b0-phase at 300 C (Fig. 1(b)) Among these four crystal phase types with stoichiometric composition, the a-
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