Comparar métodos

	Modelo Tight-Binding	Teoria do Funcional da Densidade	Método KKR
Área	Computação quântica	Computação quântica	Computação quântica
Família	Machine learning	Machine learning	Machine learning
Ano de origem	1954	1965	1947
Autor original	John Slater and George Koster	Walter Kohn	Joop Korringa and Walter Kohn
Tipo	Simplified electronic structure model	Electronic structure method	Electronic structure method
Fonte seminal	Slater, J. C., Koster, G. F. (1954). Simplified LCAO method for the periodic potential problem. Physical Review, 94, 1498–1524.	Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138.	Korringa, J. (1947). On the calculation of the energy of a Bloch wave in a metal. Physica, 13, 392–400.
Outros nomes	TB model, hopping model	DFT, Kohn-Sham equations	KKR, multiple scattering
Relacionados	3	4	3
Resumo	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.	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 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.