Fonte: Physical Chemistry Chemical Physics - PCCP. Unidade: IQSC
Assuntos: FÍSICO-QUÍMICA, MINERAÇÃO DE DADOS, ELETRÓLISE, PALÁDIO, NÍQUEL
ABNT
SOUZA, Tiago M. et al. Data-driven stabilization of NimPdn–m nanoalloys: a study using density functional theory and data mining approaches. Physical Chemistry Chemical Physics - PCCP, 2024Tradução . . Disponível em: https://doi.org/10.1039/D4CP00672K. Acesso em: 04 nov. 2024.APA
Souza, T. M., Pena, L. B., Silva, J. L. F. da, & Galvão, B. R. L. (2024). Data-driven stabilization of NimPdn–m nanoalloys: a study using density functional theory and data mining approaches. Physical Chemistry Chemical Physics - PCCP. doi:10.1039/D4CP00672KNLM
Souza TM, Pena LB, Silva JLF da, Galvão BRL. Data-driven stabilization of NimPdn–m nanoalloys: a study using density functional theory and data mining approaches [Internet]. Physical Chemistry Chemical Physics - PCCP. 2024 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1039/D4CP00672KVancouver
Souza TM, Pena LB, Silva JLF da, Galvão BRL. Data-driven stabilization of NimPdn–m nanoalloys: a study using density functional theory and data mining approaches [Internet]. Physical Chemistry Chemical Physics - PCCP. 2024 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1039/D4CP00672K