Density Functional Theory 15.11.2006. A long way in 80 years L. de Broglie – Nature 112, 540 (1923). E. Schrodinger – 1925, …. Pauli exclusion Principle.

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Density Functional Theory

A long way in 80 years L. de Broglie – Nature 112, 540 (1923). E. Schrodinger – 1925, …. Pauli exclusion Principle Fermi statistics Thomas-Fermi approximation – 1927 First density functional – Dirac – 1928 Dirac equation – relativistic quantum mechanics

Quantum Mechanics Technology Greatest Revolution of the 20 th Century First understanding of semiconductors – 1930’s Bloch theorem – 1928 Wilson - Implications of band theory - Insulators/metals – 1931 Wigner- Seitz – Quantitative calculation for Na Slater - Bands of Na (proposal of APW in 1937) Bardeen - Fermi surface of a metal Invention of the Transistor – 1940’s –Bardeen – student of Wigner –Shockley – student of Slater

The Basic Methods of Electronic Structure Hylleras – Numerically exact solution for H 2 – 1929 –Numerical methods used today in modern efficient methods Slater – Augmented Plane Waves (APW) –Not used in practice until 1950’s, 1960’s – electronic computers Herring – Orthogonalized Plane Waves (OPW) – 1940 –First realistic bands of a semiconductor – Ge – Herrman, Callaway (1953) Koringa, Kohn, Rostocker – Multiple Scattering (KKR) – 1950’s –The “most elegant” method - Ziman Boys – Gaussian basis functions – 1950’s –Widely used, especially in chemistry Phillips, Kleinman, Antoncik,– Pseudopotentials – 1950’s –Hellman, Fermi (1930’s) – Hamann, Vanderbilt, … – 1980’s Andersen – Linearized Muffin Tin Orbitals (LMTO) – 1975 –The full potential “L” methods – LAPW, …

Basis of Most Modern Calculations Density Functional Theory Hohenberg-Kohn; Kohn-Sham Car-Parrinello Method – 1985 Evolution of computer power Improved approximations for the density functionals Nobel Prize for Chemistry, 1998, Walter Kohn Widely-used codes – –ABINIT, VASP, CASTEP, ESPRESSO, CPMD, FHI98md, SIESTA, CRYSTAL, FPLO, WEIN2k,...

electrons in an external potentialInteracting

The basis of most modern calculations Density Functional Theory (DFT) Hohenberg-Kohn (1964) All properties of the many-body system are determined by the ground state density n 0 (r) Each property is a functional of the ground state density n 0 (r) which is written as f [n 0 ] A functional f [n 0 ] maps a function to a result: n 0 (r) → f

The Kohn-Sham Ansatz Kohn-Sham (1965) – Replace original many-body problem with an independent electron problem – that can be solved! The ground state density is required to be the same as the exact density Only the ground state density and energy are required to be the same as in the original many-body system

The Kohn-Sham Ansatz II From Hohenberg-Kohn the ground state energy is a functional of the density E 0 [n], minimum at n = n 0 From Kohn-Sham Exchange-Correlation Functional – Exact theory but unknown functional! Equations for independent particles - soluble The new paradigm – find useful, approximate functionals

Numerical solution: plane waves Kohn-Sham equations are differential equations that have to be solved numerically To be tractable in a computer, the problem needs to be discretized via the introduction of a suitable representation of all the quantities involved Various discretization approeches. Most common are Plane Waves (PW) and real space grids. In periodic solids, plane waves of the form are most appropriate since they reflect the periodicity of the crystal and periodic functions can be expanded in the complete set of Fourier components through orthonormal PWs In Fourier space, the K-S equations become We need to compute the matrix elements of the effective Hamiltonian between plane waves

Numerical solution: plane waves Kinetic energy becomes simply a sum over q The effective potential is periodic and can be expressed as a sum of Fourier components in terms of reciprocal lattice vectors Thus, the matrix elements of the potential are non-zero only if q and q’ differ by a reciprocal lattice vector, or alternatively, q = k+G m and q’ = k+G m’ The Kohn-Sham equations can be then written as matrix equations where: We have effectively transformed a differential problem into one that we can solve using linear algebra algorithms!

Input parameters: &electrons Kohn-Sham equations are always self-consistent equations: the effective K-S potential depends on the electron density that is the solution of the K-S equations In reciprocal space the procedure becomes: Iterative solution of self-consistent equations - often is a slow process if particular tricks are not used: mixing schemes where and