Toward an O(N) method for the non-equilibrium Green's function calculation

Similar documents
Efficient implementation of the nonequilibrium Green function method for electronic transport calculations

DETECTION OF NO 2 ADSORBED ON GRAPHYNE NANOTUBES

Localized basis methods Theory and implementations. Introduction of OpenMX Implementation of OpenMX

2. TranSIESTA 1. SIESTA. DFT In a Nutshell. Introduction to SIESTA. Boundary Conditions: Open systems. Greens functions and charge density

CHEM6085: Density Functional Theory Lecture 10

Computational Methods. Chem 561

Data structure of OpenMX and ADPACK

An Extended Hückel Theory based Atomistic Model for Graphene Nanoelectronics

Exchange Correlation Functional Investigation of RT-TDDFT on a Sodium Chloride. Dimer. Philip Straughn

Basis sets for SIESTA. Emilio Artacho. Nanogune, Ikerbasque & DIPC, San Sebastian, Spain Cavendish Laboratory, University of Cambridge

Electronic energy optimisation in ONETEP

arxiv: v1 [cond-mat.mes-hall] 28 Aug 2009

Quantum-Chemical Interpretation of Current-Induced Forces on Adatoms on Carbon Nanotubes

Introduction of XPS Absolute binding energies of core states Applications to silicene

DFT EXERCISES. FELIPE CERVANTES SODI January 2006

Electrical conductivity of metal carbon nanotube structures: Effect of length and doping

doi: /PhysRevLett

GRAPHENE NANORIBBONS TRANSPORT PROPERTIES CALCULATION. Jan VOVES

Electrical Transport in Nanoscale Systems


DFT calculations of NMR indirect spin spin coupling constants

Branislav K. Nikolić

Clar Sextet Theory for low-dimensional carbon nanostructures: an efficient approach based on chemical criteria

Atomic orbitals of finite range as basis sets. Javier Junquera

Orbital dependent correlation potentials in ab initio density functional theory

Fireball.

A Green Function Method for Large Scale Electronic Structure Calculations. Rudolf Zeller

Band calculations: Theory and Applications

Minimization of the Kohn-Sham Energy with a Localized, Projected Search Direction

Binding energy of bilayer graphene and Electronic properties of oligoynes

Title. I-V curve? e-e interactions? Conductance? Electrical Transport Through Single Molecules. Vibrations? Devices?

Density Functional Theory for Electrons in Materials

Speed-up of ATK compared to

Basics of DFT applications to solids and surfaces

Density Functional Theory

CITY UNIVERSITY OF HONG KONG. Theoretical Study of Electronic and Electrical Properties of Silicon Nanowires

Basic 8 Micro-Nano Materials Science. and engineering

Electronic Transport of Zigzag Graphene Nanoribbons with Edge Hydrogenation and Oxidation

Journal of Theoretical Physics

Electronic structure and transport in silicon nanostructures with non-ideal bonding environments

Carbon nanotubes: Models, correlations and the local density of states

arxiv: v1 [physics.comp-ph] 15 Sep 2018

CHEM6085: Density Functional Theory

Numerical Solutions of Coupled Klein-Gordon- Schr dinger Equations by Finite Element Method

Momentum filtering effect in molecular wires

Efficient projector expansion for the ab initio LCAO method

METAL/CARBON-NANOTUBE INTERFACE EFFECT ON ELECTRONIC TRANSPORT

Fig. 2. Growth process of a Ni attached cluster NiC 50.

LOCAL AND SEMI-LOCAL DENSITY FUNCTIONAL APPROXIMATIONS FOR EXCHANGE AND CORRELATION: WHY DO THEY WORK, AND DO THEY WORK BEST AT ZERO TEMPERATURE?

First-principles study of spin-dependent transport through graphene/bnc/graphene structure

Introduction to Density Functional Theory

SPIN-POLARIZED CURRENT IN A MAGNETIC TUNNEL JUNCTION: MESOSCOPIC DIODE BASED ON A QUANTUM DOT

(Scanning Probe Microscopy)

Lecture 12. Electron Transport in Molecular Wires Possible Mechanisms

Excitation energies of dissociating H 2 : A problematic case for the adiabatic approximation of time-dependent density functional theory

arxiv: v1 [cond-mat.str-el] 18 Jul 2007

An Efficient Implementation of Multiscale Simulation Software PNP-cDFT

VIBRATION CHARACTERISTICS OF EMBEDDED DOUBLE WALLED CARBON NANOTUBES SUBJECTED TO AN AXIAL PRESSURE

Electronic Supplementary Information

Tight-Binding Model of Electronic Structures

Quantum Mechanical Simulations

Optical response of small silver clusters. Abstract

Electronic Supplementary Information Oxygen reduction reaction on neighboring Fe-N 4 and quaternary-n sites of pyrolized Fe/N/C catalyst

Electron Correlation

Non-equilibrium Green's function (NEGF) simulation of metallic carbon nanotubes including vacancy defects

Charge relaxation resistance at atomic scale: An ab initio calculation

ᣂቇⴚ㗔 䇸䉮䊮䊏䊠䊷䊁䉞䉪䉴䈮䉋䉎 䊂䉱䉟䊮䋺ⶄว 㑐䈫㕖ᐔⴧ䉻䉟䊅䊚䉪䉴䇹 ᐔᚑ22ᐕᐲ ળ䇮2011ᐕ3 4ᣣ䇮 ੩ᄢቇᧄㇹ䉨䊞䊮䊌䉴 㗄 A02 ኒᐲ 㑐ᢙᴺℂ 䈮ၮ䈨䈒㕖ᐔⴧ 䊅䊉䉴䉬䊷䊦㔚 વዉ䉻䉟䊅䊚䉪䉴 ઍ ᄢᎿ ㆺ

Chapter 5 Torsion STRUCTURAL MECHANICS: CE203. Notes are based on Mechanics of Materials: by R. C. Hibbeler, 7th Edition, Pearson

arxiv:physics/ v4 [physics.chem-ph] 1 Sep 1997

The shortest queue problem

... surface Green function. Figure 1:

NEGF Simulation of Electron Transport in Carbon Nano-tubes and Graphene Nanoribbons

Thermodynamic calculations on the catalytic growth of carbon nanotubes

Quantum transport simulations: sensing DNA

Diamond. Covalent Insulators and Semiconductors. Silicon, Germanium, Gray Tin. Chem 462 September 24, 2004

Intermolecular Forces in Density Functional Theory

DGDFT: A Massively Parallel Method for Large Scale Density Functional Theory Calculations

The rotating Morse potential energy eigenvalues solved by using the analytical transfer matrix method

doi: /PhysRevLett

Orbital Kondo anomaly and channel mixing effects in a double quantum dot *

sensors ISSN by MDPI

Supporting information for Polymer interactions with Reduced Graphene Oxide: Van der Waals binding energies of Benzene on defected Graphene

Understanding the effect of n-type and p-type doping in the channel of graphene nanoribbon transistor

Inelastic Electronic Transport in the Smallest Fullerene C 20 Bridge

Adiabatic connection for near degenerate excited states

An Approximate DFT Method: The Density-Functional Tight-Binding (DFTB) Method

Defense Technical Information Center Compilation Part Notice

Transport properties and electrical device. characteristics with the TiMeS computational. platform: application in silicon nanowires

This is an author produced version of Asymptotic self-consistency in quantum transport calculations.

Available online at ScienceDirect. Procedia Materials Science 11 (2015 )

Kohn Sham density functional theory [1 3] is. Role of the Exchange Correlation Energy: Nature s Glue STEFAN KURTH, JOHN P. PERDEW.

Quantum Transport Beyond the Independent-Electron Approximation. Rex Godby

Atom-molecule molecule collisions in spin-polarized polarized alkalis: potential energy surfaces and quantum dynamics

Density Functional Theory - II part

Functionalized Carbon Nanotubes a key to nanotechnology?

Electrochemistry project, Chemistry Department, November Ab-initio Molecular Dynamics Simulation

Ab initio study of CNT NO 2 gas sensor

status solidi Department of Physics, University of California at Berkeley, Berkeley, CA, USA 2

Oslo node. Highly accurate calculations benchmarking and extrapolations

Impact of Silicon Wafer Orientation on the Performance of Metal Source/Drain MOSFET in Nanoscale Regime: a Numerical Study

Transcription:

Toward an O(N) method for the non-equilibrium Green's function calculation Masahiro FUKUDA Institute for Solid State Physics, University of Tokyo, Japan

Table of Content Introduction Non equilibrium Green s function (NEGF) for electronic transportation Divide-conquer (DC) approach Examples Conclusion 2

Table of Content Introduction Non equilibrium Green s function (NEGF) for electronic transportation Divide-conquer (DC) approach Examples Conclusion 3

Introduction Research purpose Development of a program code of electron and spin transport calculation by Non Equilibrium Green s Function (NEGF) method for large scale systems Approach Linear scaling NEGF method based on a divide-conquer (DC) approach Problem Applying the DC approach[1] to the NEGF method[2] simply can make it hard to obtain accurate local Green s functions due to the influence of the dangling bonds of a truncated cluster. [1] W. Yang, Phys. Rev. Lett. 66, 1438 (1991); W. Yang and T. S. Lee, J. Chem. Phys. 103, 5674 (1995). [2] T. Ozaki, K. Nishio and H. Kino, Phys. Rev. B 81, 035116 (2010). 4

Table of Content Introduction Non equilibrium Green s function (NEGF) for electronic transportation Divide-conquer (DC) approach Examples Conclusion 5

NEGF for electronic transportation Lead L channel Lead R Step 1 (Lead part) (i) Electronic structure of the leads (ii) Surface Green s function of the leads (iii) Self energy Step 2 (SCF part) (i) Hamiltonian of the channel (ii) Green s function of the channel (iii) equilibrium and non-equilibrium charge densities (iv) New Hamiltonian is determined by the Poisson equation Step 3 (Transmission coefficient) 6

NEGF for electronic transportation Lead L channel Lead R Step 1 (Lead part) (i) Electronic structure of the leads (ii) Surface Green s function of the leads (iii) Self energy Self-energies of leads Surface Green s function of leads Step 2 (SCF part) (i) Hamiltonian of the channel (ii) Green s function of the channel (iii) equilibrium and non-equilibrium charge densities (iv) New Hamiltonian is determined by the Poisson equation Step 3 (Transmission coefficient) 7

NEGF for electronic transportation Lead L channel Lead R Step 1 (Lead part) (i) Electronic structure of the leads (ii) Surface Green s function of the leads (iii) Self energy Kohn-Sham Hamiltonian Green s function Non-equilibrium density matrix Step 2 (SCF part) (i) Hamiltonian of the channel (ii) Green s function of the channel (iii) equilibrium and non-equilibrium charge densities (iv) New Hamiltonian is determined by the Poisson equation Step 3 (Transmission coefficient) Poisson equation 8

NEGF for electronic transportation Lead L channel Lead R Step 1 (Lead part) (i) Electronic structure of the leads (ii) Surface Green s function of the leads (iii) Self energy Transmission coefficient Step 2 (SCF part) (i) Hamiltonian of the channel (ii) Green s function of the channel (iii) equilibrium and non-equilibrium charge densities (iv) New Hamiltonian is determined by the Poisson equation Step 3 (Transmission coefficient) 9

Self-energies of leads Surface Green s function of leads Poisson equation Kohn-Sham Hamiltonian NEGF calculation Green s function Non-equilibrium density matrix Transmission coefficient 10

Table of Content Introduction Non equilibrium Green s function (NEGF) for electronic transportation Divide-conquer (DC) approach Examples Conclusion 11

Divide-conquer method dangling bond How can we add some contributions from the outer regions to the cluster s Green s function in the NEGF calculation? 12

Separated Green s function (1/3) outer region inner region outer When B and C are small enough, It is difficult to obtain the Green s function of the outer region. inner cluster Hamiltonian self energy from the outer region 13

Separated Green s function (2/3) outer region inner region outer When B and C are small enough, inner : Green s function obtained by the previous SCF step cluster Hamiltonian self energy The clustered Green s function can be improved by using. 14

Separated Green s function (3/3) 2 nd outer region outer region inner region 2 nd outer outer inner effect from the inner region to the outer region This approximated local Green s function includes 15 both outer regions effect.

Implementation to DC-NEGF The GF in the truncated cluster can be calculated if the GF in the outer region is known. Approximate GF in the outer region can be obtained by the previous SCF step calculation. self-energy contribution from the outer region to the atom j in the edge of the cluster i The clusters Green s functions can include the contribution from the outer region by adding the correction by the self energy term. It improves the accuracy of the clusters Green s functions and a convergence of the divide-conquer NEGF calculation. 16

Algorisms for NEGF and DC-NEGF ordinary NEGF do scf solve Poisson equation do E construct InvG=ES-H-Σ L -Σ R calculate G(E) calculate ρ eq (E) calculate G < (E) calculate Δρ(E) end do end do MPI parallelization about E DC-NEGF The computational cost of the DC-NEGF calculation scales only linearly. do scf solve Poisson equation do E construct InvG=ES-H-Σ L -Σ R do site i construct InvG (i) construct InvG (i) -Σ (i) calculate G (i) (E) calculate ρ eq(i) (E) end do construct G(E) and ρ eq (E) calculate G < (E) calculate Δρ(E) end do end do MPI parallelization about E and clusters 17

Table of Content Introduction Non equilibrium Green s function (NEGF) for electronic transportation Divide-conquer (DC) approach Examples Conclusion 18

Computational details Program code OpenMX (http://www.openmx-square.org/) Method: NEGF and DC-NEGF Carbon chain (C 36 ) LDA basis set : C5.0-s1p1 number of energy poles : 100 T=600[K] (6,0) zigzag carbon nanotube (C 192 ) LDA basis set : C5.0-s2p1 number of energy poles : 100 T=300[K] 19

Transmission, carbon chain (C 36 ) ordinary NEGF DC-NEGF FSNAN=16 FSNAN: the number of the atoms in the truncated clusters Good agreement! 20

Transmission, carbon chain (C 36 ) truncated cluster size dependency V bias = 0.0 [V] V bias = 0.5 [V] Better agreement with the original NEGF calculation result is obtained by using the larger truncated cluster size. 21

Transmission, (6,0) zigzag carbon nanotube (C 192 ) ordinary NEGF Full, Full, Full, Full, DC-NEGF 22

Transmission, (6,0) zigzag carbon nanotube (C 192 ), truncated cluster size dependency V bias = 0.0 [V] Full, V bias = 1.0 [V] Full, 23

Table of Content Introduction Non equilibrium Green s function (NEGF) for electronic transportation Divide-conquer (DC) approach Examples Conclusion 24

Conclusion We have proposed a linear scaling NEGF method based on a divide-conquer (DC) approach with a correction by self-energy terms, whose computational cost scales only linearly. It can be confirmed that our implementation gives sufficient accuracy to transmission calculations. It allows us to extend the applicability of the NEGF to realistic large scale systems. 25