First principles electronic structure: density functional theory. Electronic Schroedinger equation. Atomic units, classical nuclei, Born-Oppenheimer approximation. Describes 99% of condensed matter, materials physics, chemistry, biology, psychology, sociology, ....
Atomic units, classical nuclei, Born-Oppenheimer approximation.
Describes 99% of condensed matter, materials physics, chemistry, biology, psychology, sociology, ....
3 basic parameters: electronic mass, proton mass, electric charge
No parameters, no ‘garbage in, garbage out’
N can predict all properties of quantum system to very high accuracy
NSolving the Schroedinger Equation
Very clear and detailed proofs of these theorems can be found in “Electronic Structure,” Richard M. Martin (Cambridge University Press 2004 ,ISBN 0 521 78285 6).
- The external potential corresponds to a unique ground state electron density.
- A given ground state electron density corresponds to a unique external potential
- In particular, there is a one to one correspondence between the external potential and the ground state electron density
From simple inspection:
Naively, we might expect the functional to contain terms that resemble the kinetic energy of the electrons and the coulomb interaction of the electrons
UNIVERSAL! can predict all properties of quantum system to very high accuracyIngredients of Density Functional Theory
The Hohenberg-Kohn theorems give us a variational statement about the ground state density:
“the exact density makes the functional derivative of F exactly equal to the negative of the external potential (to within a constant)”
If we knew how to evaluate F, we could solve all Coulombic problems exactly.
However, we do not know how to do this. We must, instead, approximate this functional. This is where Kohn-Sham comes in.
Kohn and Sham said:
Separate kinetic energy coulomb energy, and other
Kinetic energy of the system of non-interacting electrons at the same density.
Coulomb is the electrostatic term (Hartree)
Exchange-correlation is everything else
The next step to solving for the energy is to introduce a set of one-electron orthonormal orbitals.
Now the variational condition can be applied, and one obtains the one-electron Kohn-Sham equations.
Where VXC is the exchange correlation functional, related to the xc energy as:
The exchange-correlation functional is clearly the key to success of DFT.
One of the great appealing aspects of DFT is that even relatively simple approximations to VXC can give quite accurate results.
The local density approximation (LDA) is by far the simplest and used to be the most widely used functional.
Approximate as the xc energy of homogeneous electron gas
Ceperley and Alder* performed accurate quantum Monte Carlo calculations for the electron gas
Fit energies(e.g., Perdew-Zunger) to get f(p)
To solve the Kohn-Sham equations, a number of different methods exist.
Basis set expansion of the orbitals
-Localized orbitals : molecules, etc
-Plane waves: solids, metals, liquids
Meaning of the orbitals:
-Kohn-Sham: In principle meaningless, only representation of the density
-Hartree-Fock: Electron distributions in the non-interacting approximation
There is some ad-hoc justification for using K-S orbitals as approximate quasiparticle distributions, but it’s qualitative at best (see Fermi liquid theory).
In the original Kohn-Sham paper, the authors themselves cast doubt on its accuracy for many properties. “We do not expect an accurate description of chemical bonding.”
And yet, not until at least 10 years later (the 70’s), time and time again it was shown that LDA provided remarkably accurate results.
LDA was shown to give excellent agreement with experiment for, e.g., lattice constants, bulk moduli, vibrational spectra, structure factors, and much more.
One of the reasons for its huge success is that, in the end, only a very small part of the energy is approximated.
LDA also works well because errors in the approximation of exchange and correlation tend to cancel.
For example, in a typical LDA atom, there’s a ~10% underestimate in the exchange energy.
This error in exchange is compensated by a ~100-200% overestimate of the correlation energy.
Slow varying atom:
Faster varyingLocal Density Approximation
In theory, the LDA method should work best for systems with slowly varying densities (i.e., as close to a homogeneous electron gas as possible).
However, it is interesting that even for many systems where the density varies considerably, the LDA approach performs well!
Structures of highly correlated systems (transition metals, FeO, NiO, predicts the non-magnetic phase of iron to be ground state)
Doesn’t describe weak interactions well.
Makes hydrogen bonds stronger than they should be.
Band gaps (shape and position is pretty good, but will underestimate gaps by roughly a factor of two; will predict metallic structure for some semiconductors)
Cohesive energies are pretty good; LDA tends to overbind a system (whereas HF tends to underbind)
Bond lengths are good, tend to be underestimated by 1-2%
Good for geometries, vibrations, etc.
One place where LDA performs poorly is in the calculation of excited states.