Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Модель сильной связи× | Теория функционала плотности× | |
|---|---|---|
| Область | Квантовые вычисления | Квантовые вычисления |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 1954 | 1965 |
| Автор метода≠ | John Slater and George Koster | Walter Kohn |
| Тип≠ | Simplified electronic structure model | Electronic structure method |
| Основополагающий источник≠ | 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 ↗ |
| Другие названия | TB model, hopping model | DFT, Kohn-Sham equations |
| Связанные≠ | 3 | 4 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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