Lecture 1: Intro to DFT Flashcards

1
Q
  • When a system is an of observable A (when ψ is an eigenfunction of operator Â) then the expectation value of A is an of ψ
  • Âψ(r) = aψ(r)
A
  • When a system is an eigenstate of observable A (when ψ is an eigenfunction of operator Â) then the expectation value of A is an eigenvalue of ψ
  • Âψ(r) = aψ(r)
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2
Q
  • The electronic Schrodinger equation is Ĥeψ = Eeψ, which is a result of what approximation of the Hamiltonian?
A

Internuclear term (Vnn­) removed via Born Oppenheimer approximation which assumed this value is fixed as nuclei are very slows with respect to electrons

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3
Q
  • How is the ESE approximated further?
A
  • ESE still too complex to solve e.g. due to 2nd differential in KE term
  • Separate into a universal (Fe) and an external potential (Vext)
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4
Q
  • A function is the mapping from a to a number e.g. f(x) = y
  • A functional is a mapping from a to a number e.g. the area A under the function f(x) is a single dependent on the whole … .
  • The total energy is a functional of the … … ( – functional)
  • ESE takes us from which is known, to expectation value through
A
  • A function is the mapping from a number to a number e.g. f(x) = y
  • A functional is a mapping from a function to a number e.g. the area A under the function f(x) is a single number dependent on the whole function.
  • The total energy is a functional of the wave function (ψ – functional)
  • ESE takes us from Vext which is known, to expectation value through ψ
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5
Q
  • (IMP) Outline briefly how the ESE is solved ab-intio via wavefunction theory
  • (DFT is also ab initio just different appraoch)
A
  • Exact ESE is solved through approximation of the ψ through variational or perturbation theory
  • Uses HF of non-interacting electrons in a mean field
  • Electron correlation captured through post HF methods
  • E.g. CI, MP2 only differing in how they approximate ψ
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6
Q
  • (IMP) Why might it be more appropriate to use electron density, ρ(r) to solve the ESE
A
  • Ψ depends on 3n coordinates for n electrons
  • Storing this info for >100 electrons is unfeasible
  • ρ(r) depends only on 3 coordinate (x,y,z), describing the probability distribution of electrons in space at that point
  • much simpler as only depends on position you measure it.
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7
Q
  • Hohenberg-Hohn (HK) theorem proves that there is a one-to-one invertible mapping between the potential, and the electron …, …
  • This means the energy can formulated as an density
A
  • Hohenberg-Hohn (HK) theorem proves that there is a one-to-one invertible mapping between the external potential Vext and the electron density ρ
  • This means the energy can formulated as an electron density functional
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8
Q

Through HK theory, how can we now approximate our Energy operator? (dntk)

A
  • Energy can be expressed as a density functional where KE/Vee is a universal functional F[ρ], independent of the external potential and atomic positions (also determined by electron density and dictate energy)
  • Energy as a functional of electron density is minimised through variational
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9
Q
  • What is the problem with expressing the universal function F in terms of density?
A
  • Expansion of the original KE term contains a 2nd derivative of ψ which cannot be formulated as a simple function of ρ
  • We know that F[ρ] must exist but can’t write it down.
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10
Q
  • Every external potential can have only density
  • But the same density can connect to … … external potentials
  • Therefore, we can calculate the GS density of …-…-s (via Hartree theory) in an … … vs that is known
  • Use this … … potentials equivalent to calculate the energy of the system described by
A
  • Every external potential can have only one density
  • But the same density can connect to two different external potentials
  • Therefore, we can calculate the GS density of non-interacting-s (via Hartree theory) in an effective potential vs that is known
  • Use this made up potentials equivalent ρ to calculate the energy of the system described by vext
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11
Q
  • (IMP) Describe the details of this figure
A
  • Adiabatic connection of an artificial auxiliary system, vs and a real many-body system, vext connected by the same electron density, ρ
  • Real system defined by coulomb interaction of all particles (complex)
  • Mapped into a non-interacting system encoded by overall potential describing indirect interaction between atoms.
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12
Q
  • Write the energy as a functional of electron density in terms of this new auxiliary potential (dntk)
A
  • The kinetic energy is now described as a functional of some artificial wavefunctions
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13
Q

Where is the exchange correlation functional, EXC[ρ] derived from?

A
  • The scaling parameter λ describing difference in the adiabatic connection between the artificial KE and true KE as well as the correlation and exchange energy of the non-interacting system.
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14
Q
  • What is our KS potential, vs made up of
A
  • vs = vH + vext + vxc
  • vH = Hartree potential
  • vext = external potential
  • vXC = exchange-correlation

–> the last describes the interaction of the electrons in our non interacting system

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15
Q
  • Describe the Kohn-Sham equations that form (dntk)
A
  • Set of 1-particle equations form, each desrbing KE/vs of that particle
  • Iteratively change {ψi} and vs until they are consistent.
  • KS eigen-energies reminiscent of MOs but for effective non interacting auxiliary states
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16
Q

(IMP) Describe the key differences between Wave function and KS theory

A
  • Wave function theory
    • Complexity in high dimensional ψ via exact ESE
    • Finite sum over slater determinants
    • Finite approximation of ψ àMP2,CCSD etc
    • Very slow convergence to get exact E­corr but results in exact path via systematic improvements through variational theory
    • Very computationally expensive (limited to ~30 atoms)
  • DFT
    • Complexity in vXC (less as based on density alone)
    • FInite sum over KS equations describing orbital like states
    • Non-local potential in space (and time) connects all possible interactions
    • Local approximations to vXC makes systematic path to true answer difficult
    • Good error calculations
    • Computationally very efficient