11 citations · 11 across the 2 of their papers we have counts for
2 papers
cond-mat.str-el2026
Comparison of SCAN+U and r2SCAN+U for Charge Density Wave Instability and Lattice Dynamics in CuTe
Seungha Ju, Sooran Kim
Identifying an appropriate exchange-correlation functional and computational conditions is essential for explaining the fundamental physics of materials and predicting their proper…
cond-mat.mtrl-sci2024★ 11 cited
Machine Learning Prediction Models for Solid Electrolytes based on Lattice Dynamics Properties
Jiyeon Kim, Donggeon Lee, Dongwoo Lee +3
Recently, machine-learning approaches have accelerated computational materials design and the search for advanced solid electrolytes. However, the predictors are currently limited…