পদ্ধতির তুলনা করুন

	ঘনত্ব কার্যকরী তত্ত্ব	হার্ট্রি-ফক পদ্ধতি	কেকেআর পদ্ধতি
ক্ষেত্র	কোয়ান্টাম কম্পিউটিং	কোয়ান্টাম কম্পিউটিং	কোয়ান্টাম কম্পিউটিং
পরিবার	Machine learning	Machine learning	Machine learning
উদ্ভবের বছর	1965	1928	1947
প্রবর্তক	Walter Kohn	Douglas Hartree and Vladimir Fock	Joop Korringa and Walter Kohn
ধরন	Electronic structure method	Electronic structure method	Electronic structure method
মৌলিক উৎস	Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138.	Fock, V. (1930). Näherungsmethode zur Lösung des quantenmechanischen Mehrkörperproblems. Zeitschrift für Physik, 61, 126–148.	Korringa, J. (1947). On the calculation of the energy of a Bloch wave in a metal. Physica, 13, 392–400.
অপর নাম	DFT, Kohn-Sham equations	HF, self-consistent field	KKR, multiple scattering
সম্পর্কিত	4	4	3
সারসংক্ষেপ	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 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 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.