Density Functional Theory
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Chapter 18 the Single Slater Determinant Wavefunction (Properly Spin and Symmetry Adapted) Is the Starting Point of the Most Common Mean Field Potential
Chapter 18 The single Slater determinant wavefunction (properly spin and symmetry adapted) is the starting point of the most common mean field potential. It is also the origin of the molecular orbital concept. I. Optimization of the Energy for a Multiconfiguration Wavefunction A. The Energy Expression The most straightforward way to introduce the concept of optimal molecular orbitals is to consider a trial wavefunction of the form which was introduced earlier in Chapter 9.II. The expectation value of the Hamiltonian for a wavefunction of the multiconfigurational form Y = S I CIF I , where F I is a space- and spin-adapted CSF which consists of determinental wavefunctions |f I1f I2f I3...fIN| , can be written as: E =S I,J = 1, M CICJ < F I | H | F J > . The spin- and space-symmetry of the F I determine the symmetry of the state Y whose energy is to be optimized. In this form, it is clear that E is a quadratic function of the CI amplitudes CJ ; it is a quartic functional of the spin-orbitals because the Slater-Condon rules express each < F I | H | F J > CI matrix element in terms of one- and two-electron integrals < f i | f | f j > and < f if j | g | f kf l > over these spin-orbitals. B. Application of the Variational Method The variational method can be used to optimize the above expectation value expression for the electronic energy (i.e., to make the functional stationary) as a function of the CI coefficients CJ and the LCAO-MO coefficients {Cn,i} that characterize the spin- orbitals. -
Electron Density Functions for Simple Molecules (Chemical Bonding/Excited States) RALPH G
Proc. Natl. Acad. Sci. USA Vol. 77, No. 4, pp. 1725-1727, April 1980 Chemistry Electron density functions for simple molecules (chemical bonding/excited states) RALPH G. PEARSON AND WILLIAM E. PALKE Department of Chemistry, University of California, Santa Barbara, California 93106 Contributed by Ralph G. Pearson, January 8, 1980 ABSTRACT Trial electron density functions have some If each component of the charge density is centered on a conceptual and computational advantages over wave functions. single point, the calculation of the potential energy is made The properties of some simple density functions for H+2 and H2 are examined. It appears that for a diatomic molecule a good much easier. However, the kinetic energy is often difficult to density function would be given by p = N(A2 + B2), in which calculate for densities containing several one-center terms. For A and B are short sums of s, p, d, etc. orbitals centered on each a wave function that is composed of one orbital, the kinetic nucleus. Some examples are also given for electron densities that energy can be written in terms of the electron density as are appropriate for excited states. T = 1/8 (VP)2dr [5] Primarily because of the work of Hohenberg, Kohn, and Sham p (1, 2), there has been great interest in studying quantum me- and in most cases this integral was evaluated numerically in chanical problems by using the electron density function rather cylindrical coordinates. The X integral was trivial in every case, than the wave function as a means of approach. Examples of and the z and r integrations were carried out via two-dimen- the use of the electron density include studies of chemical sional Gaussian bonding in molecules (3, 4), solid state properties (5), inter- quadrature. -
Chemistry 1000 Lecture 8: Multielectron Atoms
Chemistry 1000 Lecture 8: Multielectron atoms Marc R. Roussel September 14, 2018 Marc R. Roussel Multielectron atoms September 14, 2018 1 / 23 Spin Spin Spin (with associated quantum number s) is a type of angular momentum attached to a particle. Every particle of the same kind (e.g. every electron) has the same value of s. Two types of particles: Fermions: s is a half integer 1 Examples: electrons, protons, neutrons (s = 2 ) Bosons: s is an integer Example: photons (s = 1) Marc R. Roussel Multielectron atoms September 14, 2018 2 / 23 Spin Spin magnetic quantum number All types of angular momentum obey similar rules. There is a spin magnetic quantum number ms which gives the z component of the spin angular momentum vector: Sz = ms ~ The value of ms can be −s; −s + 1;:::; s. 1 1 1 For electrons, s = 2 so ms can only take the values − 2 or 2 . Marc R. Roussel Multielectron atoms September 14, 2018 3 / 23 Spin Stern-Gerlach experiment How do we know that electrons (e.g.) have spin? Source: Theresa Knott, Wikimedia Commons, http://en.wikipedia.org/wiki/File:Stern-Gerlach_experiment.PNG Marc R. Roussel Multielectron atoms September 14, 2018 4 / 23 Spin Pauli exclusion principle No two fermions can share a set of quantum numbers. Marc R. Roussel Multielectron atoms September 14, 2018 5 / 23 Multielectron atoms Multielectron atoms Electrons occupy orbitals similar (in shape and angular momentum) to those of hydrogen. Same orbital names used, e.g. 1s, 2px , etc. The number of orbitals of each type is still set by the number of possible values of m`, so e.g. -
Arxiv:1902.07690V2 [Cond-Mat.Str-El] 12 Apr 2019
Symmetry Projected Jastrow Mean-field Wavefunction in Variational Monte Carlo Ankit Mahajan1, ∗ and Sandeep Sharma1, y 1Department of Chemistry and Biochemistry, University of Colorado Boulder, Boulder, CO 80302, USA We extend our low-scaling variational Monte Carlo (VMC) algorithm to optimize the symmetry projected Jastrow mean field (SJMF) wavefunctions. These wavefunctions consist of a symmetry- projected product of a Jastrow and a general broken-symmetry mean field reference. Examples include Jastrow antisymmetrized geminal power (JAGP), Jastrow-Pfaffians, and resonating valence bond (RVB) states among others, all of which can be treated with our algorithm. We will demon- strate using benchmark systems including the nitrogen molecule, a chain of hydrogen atoms, and 2-D Hubbard model that a significant amount of correlation can be obtained by optimizing the energy of the SJMF wavefunction. This can be achieved at a relatively small cost when multiple symmetries including spin, particle number, and complex conjugation are simultaneously broken and projected. We also show that reduced density matrices can be calculated using the optimized wavefunctions, which allows us to calculate other observables such as correlation functions and will enable us to embed the VMC algorithm in a complete active space self-consistent field (CASSCF) calculation. 1. INTRODUCTION Recently, we have demonstrated that this cost discrep- ancy can be removed by introducing three algorithmic 16 Variational Monte Carlo (VMC) is one of the most ver- improvements . The most significant of these allowed us satile methods available for obtaining the wavefunction to efficiently screen the two-electron integrals which are and energy of a system.1{7 Compared to deterministic obtained by projecting the ab-initio Hamiltonian onto variational methods, VMC allows much greater flexibil- a finite orbital basis. -
“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. -
Electron Charge Density: a Clue from Quantum Chemistry for Quantum Foundations
Electron Charge Density: A Clue from Quantum Chemistry for Quantum Foundations Charles T. Sebens California Institute of Technology arXiv v.2 June 24, 2021 Forthcoming in Foundations of Physics Abstract Within quantum chemistry, the electron clouds that surround nuclei in atoms and molecules are sometimes treated as clouds of probability and sometimes as clouds of charge. These two roles, tracing back to Schr¨odingerand Born, are in tension with one another but are not incompatible. Schr¨odinger'sidea that the nucleus of an atom is surrounded by a spread-out electron charge density is supported by a variety of evidence from quantum chemistry, including two methods that are used to determine atomic and molecular structure: the Hartree-Fock method and density functional theory. Taking this evidence as a clue to the foundations of quantum physics, Schr¨odinger'selectron charge density can be incorporated into many different interpretations of quantum mechanics (and extensions of such interpretations to quantum field theory). Contents 1 Introduction2 2 Probability Density and Charge Density3 3 Charge Density in Quantum Chemistry9 3.1 The Hartree-Fock Method . 10 arXiv:2105.11988v2 [quant-ph] 24 Jun 2021 3.2 Density Functional Theory . 20 3.3 Further Evidence . 25 4 Charge Density in Quantum Foundations 26 4.1 GRW Theory . 26 4.2 The Many-Worlds Interpretation . 29 4.3 Bohmian Mechanics and Other Particle Interpretations . 31 4.4 Quantum Field Theory . 33 5 Conclusion 35 1 1 Introduction Despite the massive progress that has been made in physics, the composition of the atom remains unsettled. J. J. Thomson [1] famously advocated a \plum pudding" model where electrons are seen as tiny negative charges inside a sphere of uniformly distributed positive charge (like the raisins|once called \plums"|suspended in a plum pudding). -
Nature of Noncovalent Carbon-Bonding Interactions Derived from Experimental Charge-Density Analysis
Nature of Noncovalent Carbon-Bonding Interactions Derived from Experimental Charge-Density Analysis Eduardo C. Escudero-Adán, Antonio Bauzffl, Antonio Frontera, and Pablo Ballester E. C. Escudero-Adán,+ Prof. P. Ballester X-Ray Diffraction Unit Institute of Chemical Research of Catalonia (ICIQ) Avgda. Països Catalans 16, 43007 Tarragona (Spain) E-mail : [email protected] A. Bauzffl,+ Prof. A. Frontera Department of Chemistry Universitat de les Illes Balears Crta. de Valldemossa km 7.5, 07122 Palma de Mallorca (Spain) E-mail : [email protected] Prof. P. Ballester Catalan Institution for Research and Advanced Studies (ICREA) Passeig Lluïs Companys 23, 08010 Barcelona (Spain) In an effort to better understand the nature of noncovalent carbon-bonding interactions, we undertook accurate high-res- olution X-ray diffraction analysis of single crystals of 1,1,2,2-tet- racyanocyclopropane. We selected this compound to study the fundamental characteristics of carbon-bonding interactions, because it provides accessible s holes. The study required ex- tremely accurate experimental diffraction data, because the in- teraction of interest is weak. The electron-density distribution around the carbon nuclei, as shown by the experimental maps of the electrophilic bowl defined by a (CN)2C-C(CN)2 unit, was assigned as the origin of the interaction. This fact was also evidenced by plotting the D21(r) distribution. Taken together, the obtained results clearly indicate that noncovalent carbon bonding can be explained as an interaction between confront- ed oppositely polarized regions. The interaction is, thus elec- trophilic–nucleophilic (electrostatic) in nature and unambigu- ously considered as attractive. Attractive intermolecular electrostatic interactions encompass electron-rich and electron-poor regions of two molecules that complement each other.[1] Electron-rich entities are typically anions or lone-pair electrons and the most well-known elec- tron-poor entity is the hydrogen atom. -
Iia. Systems of Many Electrons
EE5 in 2008 Lecture notes Univ. of Iceland Hannes J´onsson IIa. Systems of many electrons Exchange of particle labels Consider a system of n identical particles. By identical particles we mean that all intrinsic properties of the particles are the same, such as mass, spin, charge, etc. Figure II.1 A pairwise permutation of the labels on identical particles. In classical mechanics we can in principle follow the trajectory of each individual particle. They are, therefore, distinguishable even though they are identical. In quantum mechanics the particles are not distinguishable if they are close enough or if they interact strongly enough. The quantum mechanical wave function must reflect this fact. When the particles are indistinguishable, the act of labeling the particles is an arbi- trary operation without physical significance. Therefore, all observables must be unaffected by interchange of particle labels. The operators are said to be symmetric under interchange of labels. The Hamiltonian, for example, is symmetric, since the intrinsic properties of all the particles are the same. Let ψ(1, 2,...,n) be a solution to the Schr¨odinger equation, (Here n represents all the coordinates, both spatial and spin, of the particle labeled with n). Let Pij be an operator that permutes (or ‘exchanges’) the labels i and j: Pijψ(1, 2,...,i,...,j,...,n) = ψ(1, 2,...,j,...,i,...,n). This means that the function Pij ψ depends on the coordinates of particle j in the same way that ψ depends on the coordinates of particle i. Since H is symmetric under interchange of labels: H(Pijψ) = Pij Hψ, i.e., [Pij,H]=0. -
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-. -
Slater Decomposition of Laughlin States
Slater Decomposition of Laughlin States∗ Gerald V. Dunne Department of Physics University of Connecticut 2152 Hillside Road Storrs, CT 06269 USA [email protected] 14 May, 1993 Abstract The second-quantized form of the Laughlin states for the fractional quantum Hall effect is discussed by decomposing the Laughlin wavefunctions into the N-particle Slater basis. A general formula is given for the expansion coefficients in terms of the characters of the symmetric group, and the expansion coefficients are shown to possess numerous interesting symmetries. For expectation values of the density operator it is possible to identify individual dominant Slater states of the correct uniform bulk density and filling fraction in the physically relevant N limit. →∞ arXiv:cond-mat/9306022v1 8 Jun 1993 1 Introduction The variational trial wavefunctions introduced by Laughlin [1] form the basis for the theo- retical understanding of the quantum Hall effect [2, 3]. The Laughlin wavefunctions describe especially stable strongly correlated states, known as incompressible quantum fluids, of a two dimensional electron gas in a strong magnetic field. They also form the foundation of the hierarchy structure of the fractional quantum Hall effect [4, 5, 6]. In the extreme low temperature and strong magnetic field limit, the single particle elec- tron states are restricted to the lowest Landau level. In the absence of interactions, this Landau level has a high degeneracy determined by the magnetic flux through the sample [7]. ∗UCONN-93-4 1 Much (but not all) of the physics of the quantum Hall effect may be understood in terms of the restriction of the dynamics to fixed Landau levels [8, 3, 9]. -
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.