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| Density Functional Theory | |
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| Overview | |
| Key idea | Ground-state properties as functionals of the electron density |
| Developed by | Pierre Hohenberg, Walter Kohn, Lu Jeu Sham |
| Also known as | DFT |
| Primary domain | Quantum mechanics and computational chemistry |
Density functional theory (DFT) is a quantum mechanical framework used to study the electronic structure of atoms, molecules, and solids. It is based on the idea that ground-state observables can be determined from the electron density rather than the many-electron wavefunction. In modern practice, DFT is widely implemented for materials science and chemistry, including calculations of properties such as energies, equilibrium geometries, and electronic band structures.
DFT rests on the premise that the electron density contains all information needed to determine the ground-state properties of a system of interacting electrons. The central theorems of DFT were established by Pierre Hohenberg and Walter Kohn, who showed that there exists a one-to-one correspondence between the ground-state electron density and the external potential. Their work implies that the ground-state energy can be written as a functional of the electron density.
A practical formulation of DFT was introduced through the Kohn–Sham approach, developed by Lu Jeu Sham. The Kohn–Sham method maps the interacting electron problem onto an auxiliary system of non-interacting electrons moving in an effective potential. This construction enables the computation of electron densities and energies using self-consistent field iterations, while the remaining many-body effects are contained in an exchange–correlation functional.
In standard DFT, the electronic energy is expressed via the Hohenberg–Kohn functional, which includes contributions from kinetic energy, electron–electron interactions, and the external potential. The central unknown in approximate implementations is the exchange–correlation energy, typically written as an exchange–correlation functional of the electron density. Because the exact functional is not known in general, approximations are required.
To enable calculations, the Kohn–Sham equations are solved for a set of orbitals whose squared magnitudes reproduce the electron density. The effective potential in the Kohn–Sham scheme includes the classical electrostatic (Hartree) term and a term derived from the exchange–correlation functional. This structure makes DFT compatible with many numerical methods developed for Hartree–Fock-like orbital approaches, while offering a different balance between accuracy and computational cost.
Most DFT calculations use approximate exchange–correlation functionals. A widely used class is the generalized gradient approximation, often associated with functionals such as Perdew–Burke–Ernzerhof (PBE), which depends on the local density and its gradient. Another major family is the local density approximation, which uses only the electron density at each point.
For improved accuracy in certain regimes, hybrid functionals mix a fraction of exact exchange from Hartree–Fock with DFT exchange–correlation components. For systems where dispersion (van der Waals) interactions are important, semi-empirical or nonlocal corrections are often added, including methods related to DFT-D approaches and related dispersion schemes. The selection of functional can strongly influence predictions such as reaction barriers, adsorption energies, and band gaps.
In typical DFT calculations, researchers choose a basis set or plane-wave representation, define pseudopotentials (or use all-electron methods), and select a reciprocal-space sampling strategy. The electronic structure is obtained by iteratively solving the Kohn–Sham equations until the electron density and energy converge. Many implementations also incorporate geometry optimization to determine equilibrium structures using forces derived from the DFT total energy.
DFT has been applied extensively to solid-state phenomena, including calculations of crystal structure and electronic band structure. It is also used in modeling defects, surfaces, and adsorption processes in materials science. In chemistry, DFT is frequently employed to estimate molecular energies, analyze reaction pathways, and study properties like dipole moments, often serving as a practical alternative to higher-level wavefunction methods such as configuration interaction for systems of moderate size.
Despite its broad utility, DFT has known limitations. Approximate exchange–correlation functionals can produce errors in total energies and derived quantities, and commonly underestimate band gaps in semiconductors and insulators due to the behavior of standard functionals. Remedies include using hybrid functionals, range-separated hybrids, and related approaches such as GW approximation in combination with DFT.
Another limitation is self-interaction error, which can affect the description of localized electronic states and charge transfer. For systems involving strong electronic correlations, standard semilocal functionals may fail, motivating methods such as DFT+U to better treat localized d and f electrons. Ongoing research also develops more accurate nonlocal correlation functionals, meta-GGA and beyond, and more robust formulations for excited states.
Categories: Density functional theory, Quantum chemistry, Computational physics, Electronic structure theory
This article was generated by AI using GPT Wiki. Content may contain inaccuracies. Generated on March 26, 2026. Made by Lattice Partners.
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