Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Teoria do Funcional da Densidade× | Modelo Tight-Binding× | |
|---|---|---|
| Área | Computação quântica | Computação quântica |
| Família | Machine learning | Machine learning |
| Ano de origem≠ | 1965 | 1954 |
| Autor original≠ | Walter Kohn | John Slater and George Koster |
| Tipo≠ | Electronic structure method | Simplified electronic structure model |
| Fonte seminal≠ | Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138. DOI ↗ | Slater, J. C., Koster, G. F. (1954). Simplified LCAO method for the periodic potential problem. Physical Review, 94, 1498–1524. DOI ↗ |
| Outros nomes | DFT, Kohn-Sham equations | TB model, hopping model |
| Relacionados≠ | 4 | 3 |
| Resumo≠ | Density Functional Theory (DFT) is a computational method for determining the properties of materials and molecules by modeling the ground state electron density. Developed by Walter Kohn and Lu Jeu Sham in the 1960s, DFT reduces the complexity of quantum chemistry from tracking individual electron coordinates to optimizing the total electron density, enabling efficient simulations of large molecular and condensed-matter systems. | The Tight-Binding (TB) model is a simplified semi-empirical approach for computing electronic band structures and properties of solids. Formulated by Slater and Koster in 1954, TB treats electron hopping between atomic sites as the dominant interaction, enabling efficient calculations of band dispersion for a wide variety of materials. |
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