most citedMachine Learning-Aided Discovery of Superionic Solid-State Electrolyte for Li-Ion Batteries

8 citations · 8 across the 2 of their papers we have counts for

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cond-mat.mtrl-sci2022★ 8 cited

Machine Learning-Aided Discovery of Superionic Solid-State Electrolyte for Li-Ion Batteries

Seungpyo Kang, Minseon Kim, Kyoungmin Min

Li-Ion Solid-State Electrolytes (Li-SSEs) are a promising solution that resolves the critical issues of conventional Li-Ion Batteries (LIBs) such as poor ionic conductivity, interf…

cond-mat.mtrl-sci2021

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…