Shigeo Mori

most citedEnhanced ionic conductivity through crystallization of glass-Li

_{3}

_{4}

by machine learning molecular dynamics simulations

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2026

Time-Temperature-Transformation (TTT) Diagrams to rationalize the nucleation and quenchability of metastable $α$ -Li $_{3}$ PS $_{4}$

Akira Miura, Woohyeon Baek, Yuta Fujii +12

$α$ -Li $_{3}$ PS $_{4}$ is a promising solid-state electrolyte with the highest ionic conductivity among its polymorphs. However, its formation presents a thermodynamic paradox: the $α$ -p…

cond-mat.mtrl-sci2023★ 1 cited

Enhanced ionic conductivity through crystallization of glass-Li $_{3}$ PS $_{4}$ by machine learning molecular dynamics simulations

Koji Shimizu, Parth Bahuguna, Shigeo Mori +2

Understanding the atomistic mechanism of ion conduction in solid electrolytes is critical for the advancement of all-solid-state batteries. Glass-ceramics, which undergo crystalliz…

Time-Temperature-Transformation (TTT) Diagrams to rationalize the nucleation and quenchability of metastable α-Li3​PS4​

Enhanced ionic conductivity through crystallization of glass-Li3​PS4​ by machine learning molecular dynamics simulations

Time-Temperature-Transformation (TTT) Diagrams to rationalize the nucleation and quenchability of metastable $α$ -Li $_{3}$ PS $_{4}$

Enhanced ionic conductivity through crystallization of glass-Li $_{3}$ PS $_{4}$ by machine learning molecular dynamics simulations