Machine Learning Interatomic Potential to Investigate Fundamentals of Electrolytes for Li-ion Solid-State Batteries
Kyoungmin Min (Min K)
Int. J. Precis. Eng. Manuf.-Smart Tech.. 2023;1(1):83-91. Published online 2023 Jan 1 DOI: https://doi.org/10.57062/ijpem-st.2022.0066
Citations to this article as recorded by 
Artificial Intelligence in the Design of Innovative Metamaterials: A Comprehensive Review
JunHo Song, JaeHoon Lee, Namjung Kim, Kyoungmin Min
International Journal of Precision Engineering and Manufacturing.2024; 25(1): 225. CrossRef
YOLOv4-Based Semiconductor Wafer Notch Detection Using Deep Learning and Image Enhancement Algorithms
Hao Wang, Hyo Jun Sim, Jong Jin Hwang, Sung Jin Kwak, Seung Jae Moon
International Journal of Precision Engineering and Manufacturing.2024; 25(9): 1909. CrossRef
Data-Driven Methods for Predicting the State of Health, State of Charge, and Remaining Useful Life of Li-Ion Batteries: A Comprehensive Review
Eunsong Kim, Minseon Kim, Juo Kim, Joonchul Kim, Jung-Hwan Park, Kyoung-Tak Kim, Joung-Hu Park, Taesic Kim, Kyoungmin Min
International Journal of Precision Engineering and Manufacturing.2023; 24(7): 1281. CrossRef