手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| Moller-Plesset Perturbation Theory× | 密度汎関数理論× | |
|---|---|---|
| 分野 | 量子コンピューティング | 量子コンピューティング |
| 系統 | Machine learning | Machine learning |
| 提唱年≠ | 1934 | 1965 |
| 提唱者≠ | Christian Möller and Milton Plesset | Walter Kohn |
| 種類≠ | Post-Hartree-Fock method | Electronic structure method |
| 原典≠ | Möller, C., Plesset, M. S. (1934). Note on an approximation treatment for many-electron systems. Physical Review, 46, 618–622. link ↗ | Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138. DOI ↗ |
| 別名≠ | MP2, MP3, MP4 | DFT, Kohn-Sham equations |
| 関連≠ | 3 | 4 |
| 概要≠ | Möller-Plesset perturbation theory is a post-Hartree-Fock method that systematically corrects the HF reference by treating electron correlation as a perturbation. Introduced in 1934, MP theory provides increasingly accurate energy estimates (MP2, MP3, MP4, ...) by expanding the correlation energy in orders of perturbation. | 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. |
| ScholarGateデータセット ↗ |
|
|