Methoden vergleichen

	KKR-Methode	Hartree-Fock-Methode	Tight-Binding-Modell
Fachgebiet	Quantencomputing	Quantencomputing	Quantencomputing
Familie	Machine learning	Machine learning	Machine learning
Entstehungsjahr	1947	1928	1954
Urheber	Joop Korringa and Walter Kohn	Douglas Hartree and Vladimir Fock	John Slater and George Koster
Typ	Electronic structure method	Electronic structure method	Simplified electronic structure model
Wegweisende Quelle	Korringa, J. (1947). On the calculation of the energy of a Bloch wave in a metal. Physica, 13, 392–400.	Fock, V. (1930). Näherungsmethode zur Lösung des quantenmechanischen Mehrkörperproblems. Zeitschrift für Physik, 61, 126–148.	Slater, J. C., Koster, G. F. (1954). Simplified LCAO method for the periodic potential problem. Physical Review, 94, 1498–1524.
Aliasnamen	KKR, multiple scattering	HF, self-consistent field	TB model, hopping model
Verwandt	3	4	3
Zusammenfassung	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.	The Hartree-Fock (HF) method is a foundational self-consistent field approach for solving the many-electron Schrödinger equation. Developed independently by Douglas Hartree and Vladimir Fock in the late 1920s, it approximates the ground state by assuming electrons move in an average field generated by all other electrons, enabling tractable quantum chemistry calculations.	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.