Cargando…
Crystal Structure Prediction of Magnetic Transition-Metal Oxides by Using Evolutionary Algorithm and Hybrid DFT Methods
[Image: see text] Although numerous crystal structures have been successfully predicted by using currently available computational techniques, prediction of strongly correlated systems such as transition-metal oxides remains a challenge. To overcome this problem, we have interfaced evolutionary algo...
Autores principales: | Kuklin, Mikhail S., Karttunen, Antti J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2018
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221369/ https://www.ncbi.nlm.nih.gov/pubmed/30416641 http://dx.doi.org/10.1021/acs.jpcc.8b08238 |
Ejemplares similares
-
Evolutionary Algorithm-Based Crystal Structure Prediction of Cu(x)Zn(y)O(z) Ternary Oxides
por: Kuklin, Mikhail S., et al.
Publicado: (2023) -
Structural Properties and Magnetic Ground States of 100 Binary d-Metal Oxides Studied by Hybrid Density Functional Methods
por: Kuklin, Mikhail S., et al.
Publicado: (2022) -
Determination of Formation Energies and Phase Diagrams of Transition Metal Oxides with DFT+U
por: Mutter, Daniel, et al.
Publicado: (2020) -
Hybrid evolutionary algorithms
por: Grosan, Crina, et al.
Publicado: (2007) -
Effect of CO adsorption on properties of transition metal doped porphyrin: A DFT and TD-DFT study
por: Ammar, H.Y., et al.
Publicado: (2019)