Cho, E., Son, W., Cho, E., Jang, I., Kim, D. S., & Min, K. (2023). Atomistic insights into adhesion characteristics of tungsten on titanium nitride using steered molecular dynamics with machine learning interatomic potential. Nature Portfolio.
Chicago Style (17th ed.) CitationCho, Eunseog, Won-Joon Son, Eunae Cho, Inkook Jang, Dae Sin Kim, and Kyoungmin Min. Atomistic Insights into Adhesion Characteristics of Tungsten on Titanium Nitride Using Steered Molecular Dynamics with Machine Learning Interatomic Potential. Nature Portfolio, 2023.
MLA (9th ed.) CitationCho, Eunseog, et al. Atomistic Insights into Adhesion Characteristics of Tungsten on Titanium Nitride Using Steered Molecular Dynamics with Machine Learning Interatomic Potential. Nature Portfolio, 2023.
Warning: These citations may not always be 100% accurate.