2 papers
cond-mat.mtrl-sci2024
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…
cond-mat.supr-con2021
Machine-Learning-Guided Prediction Models of Critical Temperature of Cuprates
Donggun Lee, Daegun You, Dongwoo Lee +2
Cuprates, a member of high-Tc superconductors, have been on the long-debate on their superconducting mechanism, so that predicting the critical temperature of cuprates still remain…