Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Lattice QCD× | Teorie funkcionálu hustoty× | |
|---|---|---|
| Obor | Kvantové výpočty | Kvantové výpočty |
| Rodina | Machine learning | Machine learning |
| Rok vzniku≠ | 1974 | 1965 |
| Tvůrce≠ | Kenneth Wilson | Walter Kohn |
| Typ≠ | Simulation method | Electronic structure method |
| Původní zdroj≠ | Wilson, K. G. (1974). Confinement of quarks. Physical Review D, 10, 2445–2459. DOI ↗ | Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138. DOI ↗ |
| Další názvy | LQCD, lattice gauge theory | DFT, Kohn-Sham equations |
| Příbuzné≠ | 3 | 4 |
| Shrnutí≠ | Lattice Quantum Chromodynamics (LQCD) is a computational method for studying quantum chromodynamics (QCD)—the theory of strong nuclear forces—by discretizing spacetime onto a lattice and simulating quark and gluon dynamics. Introduced by Kenneth Wilson in 1974, LQCD is the only known approach for non-perturbative calculations of QCD properties from first principles. | 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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