Density Functional Theory revolutionized quantum chemistry by using electron density instead of wavefunctions. The Hohenberg-Kohn theorems prove that electron density determines all ground-state properties, simplifying calculations from 3N to 3 spatial variables.
The Kohn-Sham approach makes DFT practical by introducing non-interacting particles with the same density as the real system. This clever trick allows us to solve simpler equations iteratively, making DFT calculations feasible for many-electron systems.
Hohenberg-Kohn Theorems and Electron Density
Fundamental Principles of Hohenberg-Kohn Theorems
- First Hohenberg-Kohn theorem establishes electron density as unique determinant of ground-state properties
- Proves one-to-one correspondence between external potential and ground-state electron density
- Demonstrates all ground-state properties can be expressed as functionals of electron density
- Reduces complexity from 3N variables (N electrons) to 3 spatial variables
- Provides theoretical foundation for density functional theory (DFT)
Electron Density and Its Significance
- Electron density represents probability of finding an electron in a specific volume element
- Integrates to total number of electrons in the system
- Contains all information needed to describe ground state of a system
- Can be measured experimentally through X-ray diffraction or electron microscopy
- Serves as central quantity in DFT calculations
- Simplifies computational approach compared to wavefunction-based methods
Non-interacting Reference System and Kohn-Sham Formalism
- Non-interacting reference system consists of fictitious particles with same density as real system
- Allows separation of kinetic energy into non-interacting and interacting components
- Introduces concept of Kohn-Sham orbitals to represent non-interacting particles
- Enables calculation of exact kinetic energy for non-interacting system
- Forms basis for Kohn-Sham approach in practical DFT calculations
- Bridges gap between interacting and non-interacting systems through exchange-correlation functional
Kohn-Sham Approach
Kohn-Sham Equations and Their Significance
- Set of one-electron Schrรถdinger-like equations for non-interacting particles
- Kohn-Sham equations take form:
- $V_{eff}(\mathbf{r})$ represents effective potential experienced by Kohn-Sham particles
- $\phi_i(\mathbf{r})$ denotes Kohn-Sham orbitals
- $\epsilon_i$ represents orbital energies
- Solve Kohn-Sham equations iteratively to obtain ground-state electron density
Self-Consistent Field Procedure
- Iterative process to solve Kohn-Sham equations
- Start with initial guess for electron density
- Calculate effective potential from guessed density
- Solve Kohn-Sham equations to obtain new set of orbitals
- Construct new electron density from obtained orbitals
- Repeat process until convergence criteria met (energy or density change below threshold)
- Convergence indicates self-consistency between density and potential
- Typically requires 10-100 iterations for most systems
Effective Potential and Its Components
- Effective potential in Kohn-Sham equations consists of several terms
- Includes external potential from nuclei (Coulomb attraction)
- Hartree potential represents classical electron-electron repulsion
- Exchange-correlation potential accounts for quantum mechanical effects
- Total effective potential expressed as:
- $V_{ext}(\mathbf{r})$ denotes external potential
- $V_H(\mathbf{r})$ represents Hartree potential
- $V_{xc}(\mathbf{r})$ signifies exchange-correlation potential
Exchange-Correlation Functional and Approximations
- Exchange-correlation functional accounts for many-body effects in DFT
- Exact form of exchange-correlation functional unknown
- Various approximations developed to estimate exchange-correlation energy
- Local Density Approximation (LDA) assumes uniform electron gas
- Generalized Gradient Approximation (GGA) includes density gradients
- Hybrid functionals incorporate exact exchange from Hartree-Fock theory
- Meta-GGA functionals include kinetic energy density
- Choice of functional depends on system and desired accuracy
- Continuous development of new functionals improves DFT accuracy