Tight-Binding Models and Coulomb Interactions for S, P, and D Electrons
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
Further Quantum Physics
Further Quantum Physics Concepts in quantum physics and the structure of hydrogen and helium atoms Prof Andrew Steane January 18, 2005 2 Contents 1 Introduction 7 1.1 Quantum physics and atoms . 7 1.1.1 The role of classical and quantum mechanics . 9 1.2 Atomic physics—some preliminaries . .... 9 1.2.1 Textbooks...................................... 10 2 The 1-dimensional projectile: an example for revision 11 2.1 Classicaltreatment................................. ..... 11 2.2 Quantum treatment . 13 2.2.1 Mainfeatures..................................... 13 2.2.2 Precise quantum analysis . 13 3 Hydrogen 17 3.1 Some semi-classical estimates . 17 3.2 2-body system: reduced mass . 18 3.2.1 Reduced mass in quantum 2-body problem . 19 3.3 Solution of Schr¨odinger equation for hydrogen . ..... 20 3.3.1 General features of the radial solution . 21 3.3.2 Precisesolution.................................. 21 3.3.3 Meanradius...................................... 25 3.3.4 How to remember hydrogen . 25 3.3.5 Mainpoints.................................... 25 3.3.6 Appendix on series solution of hydrogen equation, off syllabus . 26 3 4 CONTENTS 4 Hydrogen-like systems and spectra 27 4.1 Hydrogen-like systems . 27 4.2 Spectroscopy ........................................ 29 4.2.1 Main points for use of grating spectrograph . ...... 29 4.2.2 Resolution...................................... 30 4.2.3 Usefulness of both emission and absorption methods . 30 4.3 The spectrum for hydrogen . 31 5 Introduction to fine structure and spin 33 5.1 Experimental observation of fine structure . ..... 33 5.2 TheDiracresult ..................................... 34 5.3 Schr¨odinger method to account for fine structure . 35 5.4 Physical nature of orbital and spin angular momenta . -
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. -
Total Angular Momentum
Total Angular momentum Dipanjan Mazumdar Sept 2019 1 Motivation So far, somewhat deliberately, in our prior examples we have worked exclusively with the spin angular momentum and ignored the orbital component. This is acceptable for L = 0 systems such as filled shell atoms, but properties of partially filled atoms will depend both on the orbital and the spin part of the angular momentum. Also, when we include relativistic corrections to atomic Hamiltonian, both spin and orbital angular momentum enter directly through terms like L:~ S~ called the spin-orbit coupling. So instead of focusing only on the spin or orbital angular momentum, we have to develop an understanding as to how they couple together. One of the ways is through the total angular momentum defined as J~ = L~ + S~ (1) We will see that this will be very useful in many cases such as the real hydrogen atom where the eigenstates after including the fine structure effects such as spin-orbit interaction are eigenstates of the total angular momentum operator. 2 Vector model of angular momentum Let us first develop an intuitive understanding of the total angular momentum through the vector model which is a semi-classical approach to \add" angular momenta using vector algebra. We shall first ask, knowing L~ and S~, what are the maxmimum and minimum values of J^. This is simple to answer us- ing the vector model since vectors can be added or subtracted. Therefore, the extreme values are L~ + S~ and L~ − S~ as seen in figure 1.1 Therefore, the total angular momentum will take up values between l+s Figure 1: Maximum and minimum values of angular and jl − sj. -
1. the Hamiltonian, H = Α Ipi + Βm, Must Be Her- Mitian to Give Real
1. The hamiltonian, H = αipi + βm, must be her- yields mitian to give real eigenvalues. Thus, H = H† = † † † pi αi +β m. From non-relativistic quantum mechanics † † † αi pi + β m = aipi + βm (2) we know that pi = pi . In addition, [αi,pj ] = 0 because we impose that the α, β operators act on the spinor in- † † αi = αi, β = β. Thus α, β are hermitian operators. dices while pi act on the coordinates of the wave function itself. With these conditions we may proceed: To verify the other properties of the α, and β operators † † piαi + β m = αipi + βm (1) we compute 2 H = (αipi + βm) (αj pj + βm) 2 2 1 2 2 = αi pi + (αiαj + αj αi) pipj + (αiβ + βαi) m + β m , (3) 2 2 where for the second term i = j. Then imposing the Finally, making use of bi = 1 we can find the 26 2 2 2 relativistic energy relation, E = p + m , we obtain eigenvalues: biu = λu and bibiu = λbiu, hence u = λ u the anti-commutation relation | | and λ = 1. ± b ,b =2δ 1, (4) i j ij 2. We need to find the λ = +1/2 helicity eigenspinor { } ′ for an electron with momentum ~p = (p sin θ, 0, p cos θ). where b0 = β, bi = αi, and 1 n n idenitity matrix. ≡ × 1 Using the anti-commutation relation and the fact that The helicity operator is given by 2 σ pˆ, and the posi- 2 1 · bi = 1 we are able to find the trace of any bi tive eigenvalue 2 corresponds to u1 Dirac solution [see (1.5.98) in http://arXiv.org/abs/0906.1271]. -
Bound-State Solutions of Dirac Equation Plan of the Lecture
Lecture 3 Bound-state solutions of Dirac equation Plan of the lecture • Few comments about Dirac equation • Free- and bound-state solutions • Dirac’s spectroscopic notations – Integrals of motion – Parity of states • Energy levels of the bound-state Dirac’s particle • Structure of Dirac’s wavefunction • Radial components of the Dirac’s wavefunction Four-vectors In the relativistic world it is more convenient to work with four-vectors: Contravariant vectors Covariant vectors 휇 푥 = 푡, 푥, 푦, 푧 푥휇 = 푡, −푥, −푦, −푧 휕 휕 휕 휕 휕 휕 휕 휕 휕휇 = , − , − , − 휕 = , , , 휕푡 휕푥 휕푦 휕푧 휇 휕푡 휕푥 휕푦 휕푧 휇 푝 = 퐸, 푝푥, 푝푦, 푝푧 푝휇 = 퐸, −푝푥, −푝푦, −푝푧 Lorentz transformation 푥′휇 = 푎휈 푥휇 ′ 휈 휇 푥휇 = 푎휇 푥휇 휈 휈 훾 −훾훽 0 0 훾 훾훽 0 0 −훾훽 훾 훾훽 훾 0 0 푎휈 = 0 0 푎휈 = 휇 0 0 1 0 휇 0 0 1 0 0 0 0 1 0 0 0 1 Klein-Gordon equation Based on the relativistic energy-mass equation: 퐸2 = 푝ҧ2 + 푚2 One can derive Klein-Gordon equation for scalar (zero-spin) relativistic particles: Oscar Klein 휇 2 휕 휕휇 + 푚 휑 푥 = 0 By introducing d'Alembert operator: 휕2 휕휇휕 =⊡= − 휵2 휇 휕푡2 We can re-write Klein-Gordon equation as: ⊡ + 푚2 휑 푥 = 0 Klein-Gordon equation We can derive Klein-Gordon equation for scalar (zero-spin) relativistic particles: 휇 2 휕 휕휇 + 푚 휑 푥 = 0 Free-particle solutions of this equation: Oscar Klein 휑 푥 = 푁 푒−푖 푝푥 = 푁 푒−푖퐸푡+푖풑풓 Allow particles with both positive and negative energy: 퐸 = ± 풑2 + 푚2 And with positive and negative probability density: 푗0 = 2 푁 2 퐸 How do we understand negative-energy solutions? And what is much worse, the negative probability density? Dirac equation We can re-write -
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. -
5.80 Small-Molecule Spectroscopy and Dynamics Fall 2008
MIT OpenCourseWare http://ocw.mit.edu 5.80 Small-Molecule Spectroscopy and Dynamics Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Lecture #1 Supplement Contents A. Spectroscopic Notation . 1 1. H. N. Russell, A. G. Shenstone, and L. A. Turner, \Report on Notation for Atomic Spectra," 1 2. W. F. Meggers and C. E. Moore, \Report of Subcommittee f (Notation for the Spectra of Diatomic Molecules)" . 2 3. F. A. Jenkins, \Report of Subcommittee f (Notation for the Spectra of Diatomic Molecules)" 2 4. No author, \Report on Notation for the Spectra of Polyatomic Molecules" . 2 B. Good Quantum Numbers . 2 C. Perturbation Theory and Secular Equations . 3 D. Non-Orthonormal Basis Sets . 6 E. Transformation of Matrix Elements of any Operator into Perturbed Basis Set . 7 A. Spectroscopic Notation The language of spectroscopy is very explicit and elegant, capable of describing a wide range of unanticipated situations concisely and unambiguously. The coherence of this language is diligently preserved by a succession of august committees, whose agreements about notation are codified. These agreements are often published as authorless articles in major journals. The following list of citations include the best of these notation-codifying articles. 1. H. N. Russell, A. G. Shenstone, and L. A. Turner, \Report on Notation for Atomic Spectra," Phys. Rev. 33, 900-906 (1929). At an informal meeting of spectroscopists at Washington in April, 1928, the writers of this report were requested to draw up a scheme for the clarification of spectroscopic notation. After much discussion and correspondence with spectroscopists both in this country and abroad we are able to present the following recommendations. -
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. -
An Efficient Magnetic Tight-Binding Method for Transition
An efficient magnetic tight-binding method for transition metals and alloys Cyrille Barreteau, Daniel Spanjaard, Marie-Catherine Desjonquères To cite this version: Cyrille Barreteau, Daniel Spanjaard, Marie-Catherine Desjonquères. An efficient magnetic tight- binding method for transition metals and alloys. Comptes Rendus Physique, Centre Mersenne, 2016, 17 (3-4), pp.406 - 429. 10.1016/j.crhy.2015.12.014. cea-01384597 HAL Id: cea-01384597 https://hal-cea.archives-ouvertes.fr/cea-01384597 Submitted on 20 Oct 2016 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. C. R. Physique 17 (2016) 406–429 Contents lists available at ScienceDirect Comptes Rendus Physique www.sciencedirect.com Condensed matter physics in the 21st century: The legacy of Jacques Friedel An efficient magnetic tight-binding method for transition metals and alloys Un modèle de liaisons fortes magnétique pour les métaux de transition et leurs alliages ∗ Cyrille Barreteau a,b, , Daniel Spanjaard c, Marie-Catherine Desjonquères a a SPEC, CEA, CNRS, Université Paris-Saclay, CEA Saclay, 91191 Gif-sur-Yvette, France b DTU NANOTECH, Technical University of Denmark, Ørsteds Plads 344, DK-2800 Kgs. Lyngby, Denmark c Laboratoire de physique des solides, Université Paris-Sud, bâtiment 510, 91405 Orsay cedex, France a r t i c l e i n f o a b s t r a c t Article history: An efficient parameterized self-consistent tight-binding model for transition metals using s, Available online 21 December 2015 p and d valence atomic orbitals as a basis set is presented. -
Density-Functional Tight-Binding for Beginners
Computational Materials Science 47 (2009) 237–253 Contents lists available at ScienceDirect Computational Materials Science journal homepage: www.elsevier.com/locate/commatsci Density-functional tight-binding for beginners Pekka Koskinen *, Ville Mäkinen NanoScience Center, Department of Physics, University of Jyväskylä, 40014 Jyväskylä, Finland article info abstract Article history: This article is a pedagogical introduction to density-functional tight-binding (DFTB) method. We derive it Received 1 June 2009 from the density-functional theory, give the details behind the tight-binding formalism, and give practi- Accepted 29 July 2009 cal recipes for parametrization: how to calculate pseudo-atomic orbitals and matrix elements, and espe- Available online 22 August 2009 cially how to systematically fit the short-range repulsions. Our scope is neither to provide a historical review nor to make performance comparisons, but to give beginner’s guide for this approximate, but PACS: in many ways invaluable, electronic structure simulation method—now freely available as an open- 31.10.+z source software package, hotbit. 71.15.Dx 2009 Elsevier B.V. All rights reserved. 71.15.Nc Ó 31.15.EÀ Keywords: DFTB Tight-binding Density-functional theory Electronic structure simulations 1. Introduction sizes were already possible. With DFT as a competitor, the DFTB community never grew large. If you were given only one method for electronic structure calcu- Despite being superseded by DFT, DFTB is still useful in many lations, which method would you choose? It certainly depends on ways: (i) In calculations of large systems [4,5]. Computational scal- your field of research, but, on average, the usual choice is probably ing of DFT limits system sizes, while better scaling is easier to achieve density-functional theory (DFT).