Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Método KKR× | Teoria do Funcional da Densidade× | |
|---|---|---|
| Área | Computação quântica | Computação quântica |
| Família | Machine learning | Machine learning |
| Ano de origem≠ | 1947 | 1965 |
| Autor original≠ | Joop Korringa and Walter Kohn | Walter Kohn |
| Tipo | Electronic structure method | Electronic structure method |
| Fonte seminal≠ | Korringa, J. (1947). On the calculation of the energy of a Bloch wave in a metal. Physica, 13, 392–400. DOI ↗ | Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138. DOI ↗ |
| Outros nomes | KKR, multiple scattering | DFT, Kohn-Sham equations |
| Relacionados≠ | 3 | 4 |
| Resumo≠ | The Korringa-Kohn-Rostoker (KKR) method is a powerful multiple-scattering approach for calculating electronic band structures and properties of periodic and disordered solids. Developed in the late 1940s, KKR treats electrons as scattering from atomic potentials in a muffin-tin geometry, enabling efficient calculations for both crystalline and amorphous systems. | 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. |
| ScholarGateConjunto de dados ↗ |
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