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| Mô hình Tight-Binding (TB)× | Lý thuyết Hàm Mật độ× | |
|---|---|---|
| Lĩnh vực | Tính toán lượng tử | Tính toán lượng tử |
| Họ | Machine learning | Machine learning |
| Năm ra đời≠ | 1954 | 1965 |
| Người khởi xướng≠ | John Slater and George Koster | Walter Kohn |
| Loại≠ | Simplified electronic structure model | Electronic structure method |
| Công trình gốc≠ | 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 ↗ |
| Tên gọi khác | TB model, hopping model | DFT, Kohn-Sham equations |
| Liên quan≠ | 3 | 4 |
| Tóm tắt≠ | 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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