مقایسهٔ روشها
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| نظریه تابعی چگالی× | روش KKR× | |
|---|---|---|
| حوزه | محاسبات کوانتومی | محاسبات کوانتومی |
| خانواده | Machine learning | Machine learning |
| سال پیدایش≠ | 1965 | 1947 |
| پدیدآور≠ | Walter Kohn | Joop Korringa and Walter Kohn |
| نوع | Electronic structure method | Electronic structure method |
| منبع بنیادین≠ | Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138. DOI ↗ | Korringa, J. (1947). On the calculation of the energy of a Bloch wave in a metal. Physica, 13, 392–400. DOI ↗ |
| نامهای دیگر | DFT, Kohn-Sham equations | KKR, multiple scattering |
| مرتبط≠ | 4 | 3 |
| خلاصه≠ | 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. |
| ScholarGateمجموعهداده ↗ |
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