most citedMachine learning aided materials design platform for predicting the mechanical properties of Na-ion solid-state electrolytes

37 citations · 37 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2021★ 37 cited

Machine learning aided materials design platform for predicting the mechanical properties of Na-ion solid-state electrolytes

Junho Jo, Eunseong Choi, Minseon Kim +1

Na-ion solid-state electrolytes (Na-SSE) exhibit high potential for electrical energy storage owing to their high energy densities and low manufacturing cost. However, their mechan…