Introduction to NEGF-DFT
This section provides an overview of the Non-Equilibrium Green’s Function (NEGF) method combined with Density Functional Theory (DFT) for quantum transport calculations.
Historical Context
The gauNEGF package builds upon the foundational work of ANT.Gaussian [Palacios2002], which pioneered the implementation of NEGF-DFT calculations using Gaussian basis sets. This approach has proven particularly effective for molecular electronics and nanoscale transport calculations.
Core Functionality
The gauNEGF package provides:
Energy-independent and energy-dependent NEGF calculations [Damle2002]
Multiple contact models (Bethe lattice [Jacob2011], 1D chain)
Transmission and current calculations
Spin-dependent transport [Zollner2020]
Temperature and voltage effects
Mathematical Framework
Key Equations
The central quantities in NEGF-DFT are:
Green’s Functions
(1)\[G^r(E) = [(E+i\eta)S - F - \Sigma(E)]^{-1}\]where:
\(G^r(E)\) is the retarded Green’s function
\(E\) is the energy
\(\eta\) is a small broadening parameter
\(S\) is the overlap matrix
\(F\) is the Fock matrix
\(\Sigma(E)\) is the self-energy
The lesser Green’s function is given by:
(2)\[G^\lt(E) = G^r(E) [\Gamma_L f(E-\mu_L) + \Gamma_R f(E-\mu_R)] G^{r\dagger}(E)\]where:
\(G^\lt(E)\) is the lesser Green’s function
\(\Gamma_{L,R}\) are the broadening matrices for left and right contacts
\(f(E)\) is the Fermi-Dirac distribution
\(\mu_{L,R}\) are the chemical potentials of the contacts
Self-Energies
\[\Sigma(E) = \sum_i \tau_i g_{s,i}(E) \tau_i^\dagger\]where:
\(\tau_i\) is the coupling matrix to contact i
\(g_{s,i}(E)\) is the surface Green’s function of contact i
The sum runs over all contacts
Density Matrix
\[\rho = -\frac{1}{2\pi} \int_{-\infty}^{\infty} G^\lt(E) dE\]This gives the electron density used in the self-consistent cycle.
Contact Models and Testing
The package includes several contact models:
Bethe Lattice (surfGBethe.py)
Ideal for metallic contacts
Energy-dependent self-energy
Realistic density of states
1D Chain (surfG1D.py)
Perfect for molecular wires
Periodic boundary conditions
Band structure effects
Constant Self-Energy (surfGTester.py)
Performance benchmarking
Adding Temperature dependence
Future development: Energy-dependent decoherence
Next Steps
Continue to Self-Consistent NEGF-DFT for details on the self-consistent procedure.
References
Palacios, J. J., Pérez-Jiménez, A. J., Louis, E., SanFabián, E., & Vergés, J. A. (2002). First-principles approach to electrical transport in atomic-scale nanostructures. Physical Review B, 66(3), 035322. https://doi.org/10.1103/PhysRevB.66.035322
Damle, P., Ghosh, A. W., & Datta, S. (2002). First-principles analysis of molecular conduction using quantum chemistry software. Chemical Physics, 281(2-3), 171-187. https://doi.org/10.1016/S0301-0104(02)00496-2
Jacob, D., & Palacios, J. J. (2011). Critical comparison of electrode models in density functional theory based quantum transport calculations. The Journal of Chemical Physics, 134(4), 044118. https://doi.org/10.1063/1.3526044
Zöllner, M. S., Varela, S., Medina, E., Mujica, V., & Herrmann, C. (2020). Insight into the Origin of Chiral-Induced Spin Selectivity from a Symmetry Analysis of Electronic Transmission. Journal of Chemical Theory and Computation, 16(5), 2914-2929. https://doi.org/10.1021/acs.jctc.9b01078