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DFT improves on Hartree-Fock
Equations and Definitions
The Schödinger functional
Hierarchy of DFTs
Local spin density approximation (LSDA)
Hamiltonian as a function of perturbation strength
B3LYP Functional
Hartree-Fock exchange at long range
Grid sensitivity
DFT is not good for metals with partially filled orbitals
Density Functional Theory: Introduction and Applications
Density Functional Theory: Introduction and Applications
Overview
Computational Material Science
Microscopic Scale: Quantum Mechanics
Microscopic Scale: Quantum Mechanics
Microscopic Scale: Quantum Mechanics
Microscopic Scale: Quantum Mechanics
Overview
Density Functional Theory: Formulation and Implementation
Question: Have we made an approximation yet?
Density Functional Theory: Formulation and Implementation
Question: Have we made an approximation yet?
Density Functional Theory: Formulation and Implementation
Overview
Density Functional Theory: Applications
Density Functional Theory: Applications
Example I: Total-energy calculations and convergence
Example II: Bulk modulus
Example III: Electronic band structure
Example III: Electronic band structure
Summary
Introduction
Time series data from sound recordings
Julia notebook: Playing with sound - WAV files
Drawing waveforms
Combining (superposing) different frequencies
Julia: FFT function
Discrete Fourier Transform (DFT) vs Fast Fourier Transform (FFT)
Musical overtones: Magnitude of the FFT
Analyzing a sound file using the FFT
Defining the DFT mathematically
First term of the DFT
Equally-spaced points on unit circle in the complex plane
Idea of Fourier transform of a signal: walking around a circle
Adding complex numbers as adding vectors
Angle of DFT gives information about phase
Interpreting the second term of the DFT
General formula for DFT
Implementing the DFT in Julia
Julia: Array comprehension
Comparison of DFT with FFT results
Julia: isapprox for testing approximate equality
Pre-computing an array of powers
Julia: Modulo (%)
Julia: OffsetArray for zero-based indexing
DFT as polynomials