Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Modelul Tight-Binding (TB)× | Teoria funcționalului densității× | |
|---|---|---|
| Domeniu | Calcul cuantic | Calcul cuantic |
| Familie | Machine learning | Machine learning |
| Anul apariției≠ | 1954 | 1965 |
| Autorul original≠ | John Slater and George Koster | Walter Kohn |
| Tip≠ | Simplified electronic structure model | Electronic structure method |
| Sursa seminală≠ | Slater, J. C., Koster, G. F. (1954). Simplified LCAO method for the periodic potential problem. Physical Review, 94, 1498–1524. DOI ↗ | Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138. DOI ↗ |
| Denumiri alternative | TB model, hopping model | DFT, Kohn-Sham equations |
| Înrudite≠ | 3 | 4 |
| Rezumat≠ | 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. |
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