Integrated Computational Materials Engineering Education Calculation of Equation of State Using Density Functional Theory Mark Asta1, Katsuyo Thornton2,

Slides:



Advertisements
Similar presentations
Modelling of Defects DFT and complementary methods
Advertisements

Quantum Theory of Solids
3-Dimensional Crystal Structure
DFT – Practice Simple Molecules & Solids [based on Chapters 5 & 2, Sholl & Steckel] Input files Supercells Molecules Solids.
PA4311 Quantum Theory of Solids Quantum Theory of Solids Mervyn Roy (S6) www2.le.ac.uk/departments/physics/people/mervynroy.
Graphene: why πα? Louis Kang & Jihoon Kim
Molecular Quantum Mechanics
Introduction to Molecular Orbitals
Computational Chemistry
DFT Calculations Shaun Swanson.
Some Ideas Behind Finite Element Analysis
APPLIED MECHANICS Lecture 10 Slovak University of Technology
§5.6 §5.6 Tight-binding Tight-binding is first proposed in 1929 by Bloch. The primary idea is to use a linear combination of atomic orbitals as a set of.
Computing lattice constant, bulk modulus and equilibrium energies of solids Bulk Si Diamond structure.
Crystal Lattice Vibrations: Phonons
FUNDAMENTALS The quantum-mechanical many-electron problem and Density Functional Theory Emilio Artacho Department of Earth Sciences University of Cambridge.
MANE 4240 & CIVL 4240 Introduction to Finite Elements
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP DFT Calculations.
Physics “Advanced Electronic Structure” Pseudopotentials Contents: 1. Plane Wave Representation 2. Solution for Weak Periodic Potential 3. Solution.
Lectures Introduction to computational modelling and statistics1 Potential models2 Density Functional.
Computational Solid State Physics 計算物性学特論 第4回 4. Electronic structure of crystals.
The Nuts and Bolts of First-Principles Simulation Durham, 6th-13th December : DFT Plane Wave Pseudopotential versus Other Approaches CASTEP Developers’
Physical Chemistry 2 nd Edition Thomas Engel, Philip Reid Chapter 23 The Chemical Bond in Diatomic Molecules.
DFT Lecture, The 4 th Summer School for Integrated Computational Materials Education Integrated Computational Materials Engineering Education Lecture on.
Ch 9 pages Lecture 23 – The Hydrogen Atom.
Quantum Mechanics (14/2) CH. Jeong 1. Bloch theorem The wavefunction in a (one-dimensional) crystal can be written in the form subject to the condition.
Electronic Band Structures electrons in solids: in a periodic potential due to the periodic arrays of atoms electronic band structure: electron states.
Electronic Bandstructures Information from Kittel’s book (Ch. 7) + many outside sources. Some lectures on energy bands will be based on those prepared.
Comp. Mat. Science School 2001 Lecture 21 Density Functional Theory for Electrons in Materials Richard M. Martin Bands in GaAs Prediction of Phase Diagram.
Fundamentals of DFT R. Wentzcovitch U of Minnesota VLab Tutorial Hohemberg-Kohn and Kohn-Sham theorems Self-consistency cycle Extensions of DFT.
Density Functional Theory A long way in 80 years L. de Broglie – Nature 112, 540 (1923). E. Schrodinger – 1925, …. Pauli exclusion Principle.
1 Lecture VIII Band theory dr hab. Ewa Popko. 2 Band Theory The calculation of the allowed electron states in a solid is referred to as band theory or.
HEAT TRANSFER FINITE ELEMENT FORMULATION
Physics “Advanced Electronic Structure” Lecture 1. Theoretical Background Contents: 1. Historical Overview. 2. Basic Equations for Interacting Electrons.
Fundamentals of Density Functional Theory Santa Barbara, CA Walter Kohn Physics-Chemistry University of California, Santa Barbara
Bandstructures: Real materials. Due my interests & knowledge, we’ll mostly focus on bands in semiconductors. But, much of what we say will be equally valid.
Physics “Advanced Electronic Structure” Lecture 2. Density Functional Theory Contents: 1. Thomas-Fermi Theory. 2. Density Functional Theory. 3.
© copyright 2011 William A. Goddard III, all rights reservedCh121a-Goddard-L14 Periodic Boundary Methods and Applications: Ab-initio Quantum Mechanics.
Comp. Mat. Science School Electrons in Materials Density Functional Theory Richard M. Martin Electron density in La 2 CuO 4 - difference from sum.
Solid State Physics Lecture 15 HW 8 Due March 29 Kittel Chapter 7: 3,4,6 The free electron standing wave and the traveling wave are not eigenstates.
CCMGCCMGCCMGCCMGCCMGCCMGCCMGCCMG Ji-Hui Yang, Shiyou Chen, Wan-Jian Yin, and X.G. Gong Department of Physics and MOE laboratory for computational physical.
1 CHAP 3 WEIGHTED RESIDUAL AND ENERGY METHOD FOR 1D PROBLEMS FINITE ELEMENT ANALYSIS AND DESIGN Nam-Ho Kim.
Isolated Si atoms.
Continuum Mechanics (MTH487)
Katsuyo Thornton1, R. Edwin García2, Larry Aagesen3
Solid State Computing Peter Ballo.
PHY 752 Solid State Physics Review: Chapters 1-6 in GGGPP
PHY 752 Solid State Physics
DEVELOPMENT OF SEMI-EMPIRICAL ATOMISTIC POTENTIALS MS-MEAM
Integrated Computational Materials Engineering Education Lecture on Density Functional Theory An Introduction Mark Asta Department of Materials Science.
Production of an S(α,β) Covariance Matrix with a Monte Carlo-Generated
Thin Walled Pressure Vessels
Integrated Computational Materials Engineering Education Calculation of Equation of State Using Density Functional Theory Mark Asta1, Katsuyo Thornton2,
Katsuyo Thornton,1 Paul Mason,2 Larry Aagesen3
Schrödinger Theory of the Electronic Structure of Matter from a ‘Newtonian’ Perspective Viraht Sahni.
Band Theory of Solids So far we have neglected the lattice of positively charged ions Moreover, we have ignored the Coulomb repulsion between the electrons.
Polytetrafluoroethylene
Density Functional Theory (introduced for many-electron systems)
Electronic Structure and First Principles Theory
Prof. Sanjay. V. Khare Department of Physics and Astronomy,
Section 23.3: Coulomb’s Law
The Nuts and Bolts of First-Principles Simulation
Thermodynamic Energy Balances in Solids
Bandstructure Problem: A One Dimensional Model
3-Dimensional Crystal Structure.
Integrated Computational Materials Engineering Education Calculation of Equation of State Using Density Functional Theory Mark Asta1, Katsuyo Thornton2,
Realistic Bandstructures mostly focus on bands in semiconductors.
3-Dimensional Crystal Structure
Integrated Computational Materials Engineering Education Calculation of Equation of State Using Density Functional Theory Mark Asta1, Katsuyo Thornton2,
Katsuyo Thornton,1 Paul Mason,2 Larry Aagesen3
Presentation transcript:

Integrated Computational Materials Engineering Education Calculation of Equation of State Using Density Functional Theory Mark Asta1, Katsuyo Thornton2, and Larry Aagesen3 1Department of Materials Science and Engineering, University of California, Berkeley 2Department of Materials Science and Engineering, University of Michigan, Ann Arbor 3Idaho National Laboratory This afternoon, we will spend some time going over the DFT Module, which is based on the density functional theory, or DFT. This module can be introduced to undergrads in a materials physics course that teaches quantum mechanics and possibly band structure. Other opportunities are mechanical behavior course (to link elastic properties to atomic interactions) or in laboratories where mechanical properties are measured. Here, we collected slides that are at the appropriate level for undergraduate courses, but presentation can be modified more quantitative or less, depending on the level of the course or students’ background.

Purposes of Density Functional Theory Module Understand fundamentals of Density Functional Theory (DFT) Apply DFT to calculate: Equilibrium lattice constant Bulk Modulus Components of elastic constant tensor Understand how to check for convergence of results

Equation of State A Probe of Interatomic Interactions Schematic Energy vs. Volume Relation Diamond Cubic Structure of Si Energy per atom a Draw picture of interatomic potential. Point out compression and tension. http://www.e6cvd.com/cvd/page.jsp?pageid=361 Volume per atom (=a3/8 for Si)

Equation of State What Properties Can we Learn from It? Pressure versus Volume Relation Equilibrium Volume (or Lattice Constant) Bulk Modulus Given E(V) one can compute P(V) by taking derivative Recall 1st Law of Thermo: dE = T dS - P dV and consider T = 0 K Volume corresponding to zero pressure = Volume where slope of E(V) is zero ≈ Volume measured experimentally at P = 1 atm We start with the first law of thermodynamics. As DFT calculations are at zero temperature, the energy is solely due to PV work. So what’s the lattice constant? It’s the size of the unit cell that is in equilibrium with the external pressure, with is nominally 1 atm which can be approximated as zero since it’s small compared to typical stress that results from elastic deformation. As you can see, that can be also interpreted from the picture as the minimum of the energy. On the other hand, bulk modulus is a measure of how stiff the material is, and is related to how quickly the counter-pressure/force increases in response to elastic deformation. B related to curvature of E(V) Function

Generalize to Non-Hydrostatic Deformation Example of Uniaxial Deformation Lz Lz(1+e) Ly Ly Lx Lx So, how do we calculate the equation of state? We can calculate the total energy for a given arrangement.... We can calculate the energy based on QM governing equations theoretically, but in practice we need to make approximations. In particular, we will use the density functional theory and numerically implement this because of the complexity. (What we need to do, How we can do it, Computation is needed) Definition of Deformation In Terms of Strain: (All other strains are zero)

Linear-Elasticity for Single Crystals General form of Hook’s Law (Linear Elasticity): Stress Tensor Elastic Constant Tensor Strain Tensor Voigt Notation: 11 → 1, 22 → 2, 33 → 3, 23 → 4, 13 → 5, 12 → 6 Elastic Energy: So, how do we calculate the equation of state? We can calculate the total energy for a given arrangement.... We can calculate the energy based on QM governing equations theoretically, but in practice we need to make approximations. In particular, we will use the density functional theory and numerically implement this because of the complexity. (What we need to do, How we can do it, Computation is needed) In example from previous slide: (All other strains are zero) Note: for cubic crystal C11=C22=C33, C12=C13=C23

Equation of State How to Calculate from Density Functional Theory Formulation: for a given arrangement of nuclei defined by the lattice constant, crystal structure, and non-hydrostatic strains, compute the total energy corresponding to the optimal arrangement of the electron density Theoretical Framework: Quantum mechanical calculation of energy of electrons and nuclei interacting through Coulomb potential Practical Implementation: Density functional theory So, how do we calculate the equation of state? We can calculate the total energy for a given arrangement.... We can calculate the energy based on QM governing equations theoretically, but in practice we need to make approximations. In particular, we will use the density functional theory and numerically implement this because of the complexity. (What we need to do, How we can do it, Computation is needed)

Total Energy in Density Functional Theory Electron Density Electron Wavefunctions DFT is an approximation of the quantum mechanics. The total energy is a sum of the kinetic energy and the potential energy. It’s involves electron density in calculating ion-electron interactions and electrostatic part of electron-electron interactions via electron density. Exchange correlation takes any electron-electron interactions that are not accounted for in these terms. Potential Electrons Feel from Nuclei Exchange-Correlation Energy Form depends on whether you use Local Density Approximation (LDA) or Generalized Gradient Approximation (GGA)

Kohn-Sham Equations Schrödinger Equation for Electron Wavefunctions Exchange-Correlation Potential The governing equation for quantum mechanics is basically to say the kinetic energy plus the potential energy gives the total energy that is quantized. With the approximation described earlier, you arrive at this form of equation, which is referred to as the Kohn-Sham equation. Here the phi_i s are the effective single electron wavefunction that obeys this form of the schodinger equation. The key point here is that the operator only explicitly depends on the electron density, but since the electron density is the magnitude of wavefunction. Therefore, the solution must be sought in an integrative manner. Electron Density Note: fi depends on n(r) which depends on fi  Solution of Kohn-Sham equations must be done iteratively

Self-Consistent Solution to DFT Equations Set up atom positions Make initial guess of “input” charge density (often overlapping atomic charge densities) Solve Kohn-Sham equations with this input charge density Compute “output” charge density from resulting wavefunctions If energy from input and output densities differ by amount greater than a chosen threshold, mix output and input density and go to step 2 Quit when energy from input and output densities agree to within prescribed tolerance (e.g., 10-5 eV) Input Positions of Atoms for a Given Unit Cell and Lattice Constant guess charge density compute effective potential compute Kohn-Sham orbitals and density different compare output and input charge densities So, this is the typical iterative steps involved in calculating the equation of state. First one fixes the lattice parameter, which allows to set the atomic positions. Guess the electron density, n(r), then evaluate the Kohn-Sham equation to obtain the wave function. That wavefunction can then be used to calculate the electron density. So, now you have the input n(r) and output n(r), so you can make a direct comparison. If the difference is small, then your guess is good enough, so you have a solution for the given atomic configuration. What is the convergence criteria? same Energy for Given Lattice Constant Note: In this module the positions of atoms are dictated by symmetry. If this is not the case another loop must be added to minimize energy with respect to atomic positions.

Implementation of DFT for a Single Crystal Crystal Structure Defined by Unit Cell Vectors and Positions of Basis Atoms Example: Diamond Cubic Structure of Si a Unit Cell Vectors a1 = a (-1/2, 1/2 , 0) a2 = a (-1/2, 0, 1/2) a3 = a (0, 1/2, 1/2) Basis Atom Positions 0 0 0 ¼ ¼ ¼ All atoms in the crystal can be obtained by adding integer multiples of unit cell vectors to basis atom positions

Electron Density in Crystal Lattice Unit-Cell Vectors a1 = a (-1/2, 1/2 , 0) a2 = a (-1/2, 0, 1/2) a3 = a (0, 1/2, 1/2) Electron density is periodic with periodicity given by Electron density is periodic. Lattice vectors. beta = band index Translation Vectors:

Electronic Bandstructure Example for Si Brillouin Zone Bandstructure http://en.wikipedia.org/wiki/Brillouin_zone http://de.wikipedia.org/wiki/Datei:Band_structure_Si_schematic.svg Electronic wavefunctions in a crystal can be indexed by point in reciprocal space (k) and a band index (b)

Why? Wavefunctions in a Crystal Obey Bloch’s Theorem For a given band b Where is periodic in real space: Translation Vectors: The envelope function represents delocalized distribution of electron density

Representation of Electron Density Integral over k-points in first Brillouin zone In practice the integral over the Brillouin zone is replaced with a sum over a finite number of k-points (Nkpt) beta = band index Band occupation (e.g., the Fermi function) One parameter that needs to be checked for numerical convergence is number of k-points

Representation of Wavefunctions Fourier-Expansion as Series of Plane Waves For a given band: Recall that is periodic in real space: can be written as a 3D Fourier Series: Basically, this is the 3D version of Fourier series, which in case you need a refresher, where the are primitive reciprocal lattice vectors

Recall Properties of Fourier Series Black line = (exact) triangular wave Colored lines = Fourier series truncated at different orders http://mathworld.wolfram.com/FourierSeriesTriangleWave.html General Form of Fourier Series: It is to write a periodic function in terms of an For a smooth function, convergence (as you keep more terms) is quite rapid. For Triangular Wave: Typically we expect the accuracy of a truncated Fourier series to improve as we increase the number of terms

Representation of Wavefunctions Plane-Wave Basis Set For a given band Use Fourier Expansion In practice the Fourier series is truncated to include all G for which: Another parameter that needs to be checked for convergence is the “plane-wave cutoff energy” Ecut

Examples of Convergence Checks Effect of Ecut Effect of Number of k Points Note: the different values of kTel corresponds to different choices for occupation function (wj in slide 14) http://www.fhi-berlin.mpg.de/th/Meetings/FHImd2001/pehlke1.pdf

DFT Module Problem 1: Calculate equilibrium volume and bulk modulus of diamond cubic Si using Quantum Espresso on Nanohub (http://nanohub.org/) Outcome 1: Understand effect of numerical parameters on calculated results by testing convergence with respect to number of k-points and plane-wave cutoff Outcome 2: Understand the effect of the theoretical model for exchange-correlation potential on the accuracy of the calculations by comparing results from Local Density Approximation (LDA) and Generalized Gradient Approximation (GGA) with experimental measurements

DFT Module Problem 2: Calculate the single-crystal elastic constants C11 and C12 Outcome 1: Understand how to impose homogeneous elastic deformations in a DFT calculation Outcome 2: Understand the effect of the theoretical model for exchange-correlation potential on the accuracy of the calculations by comparing results from Local Density Approximation (LDA) and Generalized Gradient Approximation (GGA) with experimental measurements

(Fractional Coordinates) DFT Module For problem 1 you will make use of the unit cell for diamond-cubic Si shown below. You will vary only the lattice constant a. Unit Cell Vectors a1 = a (-1/2, 1/2 , 0) a2 = a (-1/2, 0, 1/2) a3 = a (0, 1/2, 1/2) a Basis Atom Positions (Fractional Coordinates) 0 0 0 ¼ ¼ ¼

(Fractional Coordinates) DFT Module For problem 2 you will impose a homogeneous tensile strain (e) along the [001] axis (see slide 4) Such a strain results in the x3 coordinate of all atoms changing to x3*(1+e) This homogeneous deformation can be represented by changing the unit cell vectors as follows: Unit Cell Vectors a1 = a (-1/2, 1/2 , 0) a2 = a (-1/2, 0, (1+e)/2) a3 = a (0, 1/2, (1+e)/2) a Basis Atom Positions (Fractional Coordinates) 0 0 0 ¼ ¼ ¼