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Springer Science and Business Media LLC

Machine Learned Interatomic Potentials for Ternary Carbides trained on the AFLOW Database

Publication ,  Preprint
Zurek, E; Roberts, J; Rijal, B; Divilov, S; Maria, J-P; Fahrenholtz, W; Wolfe, D; Brenner, D; Curtarolo, S
January 17, 2024

Duke Scholars

DOI

Publication Date

January 17, 2024
 

Citation

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Zurek, E., Roberts, J., Rijal, B., Divilov, S., Maria, J.-P., Fahrenholtz, W., … Curtarolo, S. (2024). Machine Learned Interatomic Potentials for Ternary Carbides trained on the AFLOW Database. Springer Science and Business Media LLC. https://doi.org/10.21203/rs.3.rs-3793808/v1
Zurek, Eva, Josiah Roberts, Biswas Rijal, Simon Divilov, Jon-Paul Maria, William Fahrenholtz, Douglas Wolfe, Donald Brenner, and Stefano Curtarolo. “Machine Learned Interatomic Potentials for Ternary Carbides trained on the AFLOW Database.” Springer Science and Business Media LLC, January 17, 2024. https://doi.org/10.21203/rs.3.rs-3793808/v1.
Zurek E, Roberts J, Rijal B, Divilov S, Maria J-P, Fahrenholtz W, et al. Machine Learned Interatomic Potentials for Ternary Carbides trained on the AFLOW Database. Springer Science and Business Media LLC. 2024.
Zurek, Eva, et al. “Machine Learned Interatomic Potentials for Ternary Carbides trained on the AFLOW Database.” Springer Science and Business Media LLC, 17 Jan. 2024. Crossref, doi:10.21203/rs.3.rs-3793808/v1.
Zurek E, Roberts J, Rijal B, Divilov S, Maria J-P, Fahrenholtz W, Wolfe D, Brenner D, Curtarolo S. Machine Learned Interatomic Potentials for Ternary Carbides trained on the AFLOW Database. Springer Science and Business Media LLC. 2024.

DOI

Publication Date

January 17, 2024