An Introduction to the Tight Binding Approximation – Implementation by Diagonalisation
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Effective Hamiltonians Derived from Equation-Of-Motion Coupled-Cluster
Effective Hamiltonians derived from equation-of-motion coupled-cluster wave-functions: Theory and application to the Hubbard and Heisenberg Hamiltonians Pavel Pokhilkoa and Anna I. Krylova a Department of Chemistry, University of Southern California, Los Angeles, California 90089-0482 Effective Hamiltonians, which are commonly used for fitting experimental observ- ables, provide a coarse-grained representation of exact many-electron states obtained in quantum chemistry calculations; however, the mapping between the two is not triv- ial. In this contribution, we apply Bloch's formalism to equation-of-motion coupled- cluster (EOM-CC) wave functions to rigorously derive effective Hamiltonians in the Bloch's and des Cloizeaux's forms. We report the key equations and illustrate the theory by examples of systems with electronic states of covalent and ionic characters. We show that the Hubbard and Heisenberg Hamiltonians are extracted directly from the so-obtained effective Hamiltonians. By making quantitative connections between many-body states and simple models, the approach also facilitates the analysis of the correlated wave functions. Artifacts affecting the quality of electronic structure calculations such as spin contamination are also discussed. I. INTRODUCTION Coarse graining is commonly used in computational chemistry and physics. It is ex- ploited in a number of classic models serving as a foundation of modern solid-state physics: tight binding[1, 2], Drude{Sommerfeld's model[3{5], Hubbard's [6] and Heisenberg's[7{9] Hamiltonians. These models explain macroscopic properties of materials through effective interactions whose strengths are treated as model parameters. The values of these pa- rameters are determined either from more sophisticated theoretical models or by fitting to experimental observables. -
Introduction to the Physical Properties of Graphene
Introduction to the Physical Properties of Graphene Jean-No¨el FUCHS Mark Oliver GOERBIG Lecture Notes 2008 ii Contents 1 Introduction to Carbon Materials 1 1.1 TheCarbonAtomanditsHybridisations . 3 1.1.1 sp1 hybridisation ..................... 4 1.1.2 sp2 hybridisation – graphitic allotopes . 6 1.1.3 sp3 hybridisation – diamonds . 9 1.2 Crystal StructureofGrapheneand Graphite . 10 1.2.1 Graphene’s honeycomb lattice . 10 1.2.2 Graphene stacking – the different forms of graphite . 13 1.3 FabricationofGraphene . 16 1.3.1 Exfoliatedgraphene. 16 1.3.2 Epitaxialgraphene . 18 2 Electronic Band Structure of Graphene 21 2.1 Tight-Binding Model for Electrons on the Honeycomb Lattice 22 2.1.1 Bloch’stheorem. 23 2.1.2 Lattice with several atoms per unit cell . 24 2.1.3 Solution for graphene with nearest-neighbour and next- nearest-neighour hopping . 27 2.2 ContinuumLimit ......................... 33 2.3 Experimental Characterisation of the Electronic Band Structure 41 3 The Dirac Equation for Relativistic Fermions 45 3.1 RelativisticWaveEquations . 46 3.1.1 Relativistic Schr¨odinger/Klein-Gordon equation . ... 47 3.1.2 Diracequation ...................... 49 3.2 The2DDiracEquation. 53 3.2.1 Eigenstates of the 2D Dirac Hamiltonian . 54 3.2.2 Symmetries and Lorentz transformations . 55 iii iv 3.3 Physical Consequences of the Dirac Equation . 61 3.3.1 Minimal length for the localisation of a relativistic par- ticle ............................ 61 3.3.2 Velocity operator and “Zitterbewegung” . 61 3.3.3 Klein tunneling and the absence of backscattering . 61 Chapter 1 Introduction to Carbon Materials The experimental and theoretical study of graphene, two-dimensional (2D) graphite, is an extremely rapidly growing field of today’s condensed matter research. -
Density Functional Theory
Density Functional Theory Fundamentals Video V.i Density Functional Theory: New Developments Donald G. Truhlar Department of Chemistry, University of Minnesota Support: AFOSR, NSF, EMSL Why is electronic structure theory important? Most of the information we want to know about chemistry is in the electron density and electronic energy. dipole moment, Born-Oppenheimer charge distribution, approximation 1927 ... potential energy surface molecular geometry barrier heights bond energies spectra How do we calculate the electronic structure? Example: electronic structure of benzene (42 electrons) Erwin Schrödinger 1925 — wave function theory All the information is contained in the wave function, an antisymmetric function of 126 coordinates and 42 electronic spin components. Theoretical Musings! ● Ψ is complicated. ● Difficult to interpret. ● Can we simplify things? 1/2 ● Ψ has strange units: (prob. density) , ● Can we not use a physical observable? ● What particular physical observable is useful? ● Physical observable that allows us to construct the Hamiltonian a priori. How do we calculate the electronic structure? Example: electronic structure of benzene (42 electrons) Erwin Schrödinger 1925 — wave function theory All the information is contained in the wave function, an antisymmetric function of 126 coordinates and 42 electronic spin components. Pierre Hohenberg and Walter Kohn 1964 — density functional theory All the information is contained in the density, a simple function of 3 coordinates. Electronic structure (continued) Erwin Schrödinger -
“Band Structure” for Electronic Structure Description
www.fhi-berlin.mpg.de Fundamentals of heterogeneous catalysis The very basics of “band structure” for electronic structure description R. Schlögl www.fhi-berlin.mpg.de 1 Disclaimer www.fhi-berlin.mpg.de • This lecture is a qualitative introduction into the concept of electronic structure descriptions different from “chemical bonds”. • No mathematics, unfortunately not rigorous. • For real understanding read texts on solid state physics. • Hellwege, Marfunin, Ibach+Lüth • The intention is to give an impression about concepts of electronic structure theory of solids. 2 Electronic structure www.fhi-berlin.mpg.de • For chemists well described by Lewis formalism. • “chemical bonds”. • Theorists derive chemical bonding from interaction of atoms with all their electrons. • Quantum chemistry with fundamentally different approaches: – DFT (density functional theory), see introduction in this series – Wavefunction-based (many variants). • All solve the Schrödinger equation. • Arrive at description of energetics and geometry of atomic arrangements; “molecules” or unit cells. 3 Catalysis and energy structure www.fhi-berlin.mpg.de • The surface of a solid is traditionally not described by electronic structure theory: • No periodicity with the bulk: cluster or slab models. • Bulk structure infinite periodically and defect-free. • Surface electronic structure theory independent field of research with similar basics. • Never assume to explain reactivity with bulk electronic structure: accuracy, model assumptions, termination issue. • But: electronic -
Simple Molecular Orbital Theory Chapter 5
Simple Molecular Orbital Theory Chapter 5 Wednesday, October 7, 2015 Using Symmetry: Molecular Orbitals One approach to understanding the electronic structure of molecules is called Molecular Orbital Theory. • MO theory assumes that the valence electrons of the atoms within a molecule become the valence electrons of the entire molecule. • Molecular orbitals are constructed by taking linear combinations of the valence orbitals of atoms within the molecule. For example, consider H2: 1s + 1s + • Symmetry will allow us to treat more complex molecules by helping us to determine which AOs combine to make MOs LCAO MO Theory MO Math for Diatomic Molecules 1 2 A ------ B Each MO may be written as an LCAO: cc11 2 2 Since the probability density is given by the square of the wavefunction: probability of finding the ditto atom B overlap term, important electron close to atom A between the atoms MO Math for Diatomic Molecules 1 1 S The individual AOs are normalized: 100% probability of finding electron somewhere for each free atom MO Math for Homonuclear Diatomic Molecules For two identical AOs on identical atoms, the electrons are equally shared, so: 22 cc11 2 2 cc12 In other words: cc12 So we have two MOs from the two AOs: c ,1() 1 2 c ,1() 1 2 2 2 After normalization (setting d 1 and _ d 1 ): 1 1 () () [2(1 S )]1/2 12 [2(1 S )]1/2 12 where S is the overlap integral: 01 S LCAO MO Energy Diagram for H2 H2 molecule: two 1s atomic orbitals combine to make one bonding and one antibonding molecular orbital. -
Electronic Structure Methods
Electronic Structure Methods • One-electron models – e.g., Huckel theory • Semiempirical methods – e.g., AM1, PM3, MNDO • Single-reference based ab initio methods •Hartree-Fock • Perturbation theory – MP2, MP3, MP4 • Coupled cluster theory – e.g., CCSD(T) • Multi-configurational based ab initio methods • MCSCF and CASSCF (also GVB) • MR-MP2 and CASPT2 • MR-CI •Ab Initio Methods for IPs, EAs, excitation energies •CI singles (CIS) •TDHF •EOM and Greens function methods •CC2 • Density functional theory (DFT)- Combine functionals for exchange and for correlation • Local density approximation (LDA) •Perdew-Wang 91 (PW91) • Becke-Perdew (BP) •BeckeLYP(BLYP) • Becke3LYP (B3LYP) • Time dependent DFT (TDDFT) (for excited states) • Hybrid methods • QM/MM • Solvation models Why so many methods to solve Hψ = Eψ? Electronic Hamiltonian, BO approximation 1 2 Z A 1 Z AZ B H = − ∑∇i − ∑∑∑+ + (in a.u.) 2 riA iB〈〈j rij A RAB 1/rij is what makes it tough (nonseparable)!! Hartree-Fock method: • Wavefunction antisymmetrized product of orbitals Ψ =|φ11 (τφτ ) ⋅⋅⋅NN ( ) | ← Slater determinant accounts for indistinguishability of electrons In general, τ refers to both spatial and spin coordinates For the 2-electron case 1 Ψ = ϕ (τ )ϕ (τ ) = []ϕ (τ )ϕ (τ ) −ϕ (τ )ϕ (τ ) 1 1 2 2 2 1 1 2 2 2 1 1 2 Energy minimized – variational principle 〈Ψ | H | Ψ〉 Vary orbitals to minimize E, E = 〈Ψ | Ψ〉 keeping orbitals orthogonal hi ϕi = εi ϕi → orbitals and orbital energies 2 φ j (r2 ) 1 2 Z J = dr h = − ∇ − A + (J − K ) i ∑ ∫ 2 i i ∑ i i j ≠ i r12 2 riA ϕϕ()rr () Kϕϕ()rdrr= ji22 () ii121∑∫ j ji≠ r12 Characteristics • Each e- “sees” average charge distribution due to other e-. -
Arxiv:1601.03499V1 [Quant-Ph] 14 Jan 2016 Networks [23]
Non-Hermitian tight-binding network engineering Stefano Longhi Dipartimento di Fisica, Politecnico di Milano and Istituto di Fotonica e Nanotecnologie del Consiglio Nazionale delle Ricerche, Piazza L. da Vinci 32, I-20133 Milano, Italy We suggest a simple method to engineer a tight-binding quantum network based on proper coupling to an auxiliary non-Hermitian cluster. In particular, it is shown that effective complex non-Hermitian hopping rates can be realized with only complex on-site energies in the network. Three applications of the Hamiltonian engineering method are presented: the synthesis of a nearly transparent defect in an Hermitian linear lattice; the realization of the Fano-Anderson model with complex coupling; and the synthesis of a PT -symmetric tight-binding lattice with a bound state in the continuum. PACS numbers: 03.65.-w, 11.30.Er, 72.20.Ee, 42.82.Et I. INTRODUCTION self-sustained emission in semi-infinite non-Hermitian systems at the exceptional point [29], optical simulation of PT -symmetric quantum field theories in the ghost Hamiltonian engineering is a powerful technique regime [30, 31], invisible defects in tight-binding lattices to control classical and quantum phenomena with [32], non-Hermitian bound states in the continuum [33], important applications in many areas of physics such and Bloch oscillations with trajectories in complex plane as quantum control [1{4], quantum state transfer and [34]. Previous proposals to implement complex hopping quantum information processing [5{10], quantum simu- amplitudes are based on fast temporal modulations of lation [11{13], and topological phases of matter [14{19]. complex on-site energies [31, 32], however such methods In quantum systems described by a tight-binding are rather challenging in practice and, as a matter of Hamiltonian, quantum engineering is usually aimed at fact, to date there is not any experimental demonstration tailoring and controlling hopping rates and site energies, of non-Hermitian complex couplings in tight-binding using either static or dynamic methods. -
The Electronic Structure of Molecules an Experiment Using Molecular Orbital Theory
The Electronic Structure of Molecules An Experiment Using Molecular Orbital Theory Adapted from S.F. Sontum, S. Walstrum, and K. Jewett Reading: Olmstead and Williams Sections 10.4-10.5 Purpose: Obtain molecular orbital results for total electronic energies, dipole moments, and bond orders for HCl, H 2, NaH, O2, NO, and O 3. The computationally derived bond orders are correlated with the qualitative molecular orbital diagram and the bond order obtained using the NO bond force constant. Introduction to Spartan/Q-Chem The molecule, above, is an anti-HIV protease inhibitor that was developed at Abbot Laboratories, Inc. Modeling of molecular structures has been instrumental in the design of new drug molecules like these inhibitors. The molecular model kits you used last week are very useful for visualizing chemical structures, but they do not give the quantitative information needed to design and build new molecules. Q-Chem is another "modeling kit" that we use to augment our information about molecules, visualize the molecules, and give us quantitative information about the structure of molecules. Q-Chem calculates the molecular orbitals and energies for molecules. If the calculation is set to "Equilibrium Geometry," Q-Chem will also vary the bond lengths and angles to find the lowest possible energy for your molecule. Q- Chem is a text-only program. A “front-end” program is necessary to set-up the input files for Q-Chem and to visualize the results. We will use the Spartan program as a graphical “front-end” for Q-Chem. In other words Spartan doesn’t do the calculations, but rather acts as a go-between you and the computational package. -
CP2K: Atomistic Simulations of Condensed Matter Systems
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2014 CP2K: Atomistic simulations of condensed matter systems Hutter, Juerg; Iannuzzi, Marcella; Schiffmann, Florian; VandeVondele, Joost Abstract: cp2k has become a versatile open-source tool for the simulation of complex systems on the nanometer scale. It allows for sampling and exploring potential energy surfaces that can be computed using a variety of empirical and first principles models. Excellent performance for electronic structure calculations is achieved using novel algorithms implemented for modern and massively parallel hardware. This review briefly summarizes the main capabilities and illustrates with recent applications thescience cp2k has enabled in the field of atomistic simulation. DOI: https://doi.org/10.1002/wcms.1159 Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-89998 Journal Article Accepted Version Originally published at: Hutter, Juerg; Iannuzzi, Marcella; Schiffmann, Florian; VandeVondele, Joost (2014). CP2K: Atomistic simulations of condensed matter systems. Wiley Interdisciplinary Reviews. Computational Molecular Science, 4(1):15-25. DOI: https://doi.org/10.1002/wcms.1159 cp2k: Atomistic Simulations of Condensed Matter Systems J¨urgHutter and Marcella Iannuzzi Physical Chemistry Institute University of Zurich Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Florian Schiffmann and Joost VandeVondele Nanoscale Simulations ETH Zurich Wolfgang-Pauli-Strasse 27 CH-8093 Zurich, Switzerland December 17, 2012 Abstract cp2k has become a versatile open source tool for the simulation of complex systems on the nanometer scale. It allows for sampling and exploring potential energy surfaces that can be computed using a variety of empirical and first principles models. -
Pushing Back the Limit of Ab-Initio Quantum Transport Simulations On
1 Pushing Back the Limit of Ab-initio Quantum Transport Simulations on Hybrid Supercomputers Mauro Calderara∗, Sascha Bruck¨ ∗, Andreas Pedersen∗, Mohammad H. Bani-Hashemian†, Joost VandeVondele†, and Mathieu Luisier∗ ∗Integrated Systems Laboratory, ETH Zurich,¨ 8092 Zurich,¨ Switzerland †Nanoscale Simulations, ETH Zurich,¨ 8093 Zurich,¨ Switzerland ABSTRACT The capabilities of CP2K, a density-functional theory package and OMEN, a nano-device simulator, are combined to study transport phenomena from first-principles in unprecedentedly large nanostructures. Based on the Hamil- tonian and overlap matrices generated by CP2K for a given system, OMEN solves the Schr¨odinger equation with open boundary conditions (OBCs) for all possible electron momenta and energies. To accelerate this core operation a robust algorithm called SplitSolve has been developed. It allows to simultaneously treat the OBCs on CPUs and the Schr¨odinger equation on GPUs, taking advantage of hybrid nodes. Our key achievements on the Cray-XK7 Titan are (i) a reduction in time-to-solution by more than one order of magnitude as compared to standard methods, enabling the simulation of structures with more than 50000 atoms, (ii) a parallel efficiency of 97% when scaling from 756 up to 18564 nodes, and (iii) a sustained performance of 15 DP-PFlop/s. arXiv:1812.01396v1 [physics.comp-ph] 4 Dec 2018 1. INTRODUCTION The fabrication of nanostructures has considerably improved over the last couple of years and is rapidly ap- proaching the point where individual atoms are reliably manipulated and assembled according to desired patterns. There is still a long way to go before such processes enter mass production, but exciting applications have already been demonstrated: a low-temperature single-atom transistor [1], atomically precise graphene nanoribbons [2], or van der Waals heterostructures based on metal-dichalcogenides [3] were recently synthesized. -
Electronic Structure Calculations and Density Functional Theory
Electronic Structure Calculations and Density Functional Theory Rodolphe Vuilleumier P^olede chimie th´eorique D´epartement de chimie de l'ENS CNRS { Ecole normale sup´erieure{ UPMC Formation ModPhyChem { Lyon, 09/10/2017 Rodolphe Vuilleumier (ENS { UPMC) Electronic Structure and DFT ModPhyChem 1 / 56 Many applications of electronic structure calculations Geometries and energies, equilibrium constants Reaction mechanisms, reaction rates... Vibrational spectroscopies Properties, NMR spectra,... Excited states Force fields From material science to biology through astrochemistry, organic chemistry... ... Rodolphe Vuilleumier (ENS { UPMC) Electronic Structure and DFT ModPhyChem 2 / 56 Length/,("-%0,11,("2,"3,4)(",3"2,"1'56+,+&" and time scales 0,1 nm 10 nm 1µm 1ps 1ns 1µs 1s Variables noyaux et atomes et molécules macroscopiques Modèles Gros-Grains électrons (champs) ! #$%&'(%')$*+," #-('(%')$*+," #.%&'(%')$*+," !" Rodolphe Vuilleumier (ENS { UPMC) Electronic Structure and DFT ModPhyChem 3 / 56 Potential energy surface for the nuclei c The LibreTexts libraries Rodolphe Vuilleumier (ENS { UPMC) Electronic Structure and DFT ModPhyChem 4 / 56 Born-Oppenheimer approximation Total Hamiltonian of the system atoms+electrons: H^T = T^N + V^NN + H^ MI me approximate system wavefunction: ! ~ ~ ~ ΨS (RI ; ~r1;:::; ~rN ) = Ψ(RI )Ψ0(~r1;:::; ~rN ; RI ) ~ Ψ0(~r1;:::; ~rN ; RI ): the ground state electronic wavefunction of the ~ electronic Hamiltonian H^ at fixed ionic configuration RI n o Energy of the electrons at this ionic configuration: ~ E0(RI ) = Ψ0 -
The Atomic and Electronic Structure of Dislocations in Ga Based Nitride Semiconductors Imad Belabbas, Pierre Ruterana, Jun Chen, Gérard Nouet
The atomic and electronic structure of dislocations in Ga based nitride semiconductors Imad Belabbas, Pierre Ruterana, Jun Chen, Gérard Nouet To cite this version: Imad Belabbas, Pierre Ruterana, Jun Chen, Gérard Nouet. The atomic and electronic structure of dislocations in Ga based nitride semiconductors. Philosophical Magazine, Taylor & Francis, 2006, 86 (15), pp.2245-2273. 10.1080/14786430600651996. hal-00513682 HAL Id: hal-00513682 https://hal.archives-ouvertes.fr/hal-00513682 Submitted on 1 Sep 2010 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Philosophical Magazine & Philosophical Magazine Letters For Peer Review Only The atomic and electronic structure of dislocations in Ga based nitride semiconductors Journal: Philosophical Magazine & Philosophical Magazine Letters Manuscript ID: TPHM-05-Sep-0420.R2 Journal Selection: Philosophical Magazine Date Submitted by the 08-Dec-2005 Author: Complete List of Authors: BELABBAS, Imad; ENSICAEN, SIFCOM Ruterana, Pierre; ENSICAEN, SIFCOM CHEN, Jun; IUT, LRPMN NOUET, Gérard; ENSICAEN, SIFCOM Keywords: GaN, atomic structure, dislocations, electronic structure Keywords (user supplied): http://mc.manuscriptcentral.com/pm-pml Page 1 of 87 Philosophical Magazine & Philosophical Magazine Letters 1 2 3 4 The atomic and electronic structure of dislocations in Ga 5 6 based nitride semiconductors 7 8 9 10 11 12 1,3 1 2 1 13 I.