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Determination of Molecular Properties

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Property Determination. We've seen how to evaluate the energy and approximate ... Barrier to inversion: trigonal pyramid vs. planar configurations, tetrahedral vs. ... – PowerPoint PPT presentation

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Title: Determination of Molecular Properties


1
Property Determination
  • Weve seen how to evaluate the energy and
    approximate wave function for a given molecular
    geometry
  • Molecular properties you can obtain directly from
    the wave function
  • Atomic point charges
  • Leading order term in an electrostatic potential
  • Use in molecular simulations
  • Try to explain anomolous chemistry
  • General idea is to use known electron density
    function to assign charge to each atom
  • Procedures vary by method

2
Property Determination
  • Mulliken Population Analysis
  • Widely-used, widely-criticized
  • Begin with constraint that the wave function be
    minimized
  • Easiest way is to force each fi to be normalized
  • If the basis functions are normalized, we may
    write

3
Property Determination
  • The previous expression may also be written as
  • Let there be ni electrons in fi
  • Define the number of electrons in cr due to
    orbital fi as nr,i ni ari2
  • The number of electrons in the overlap region
    between cs and cr is given by
  • Calculate the net population in cr (function on a
    single atom), and in overlap region

4
Property Determination
  • If we want charges on atoms, what do we do about
    the overlap populations?
  • Mulliken assumed that the overlap populations
    should split evenly
  • Can now calculate the gross population in cr
  • Charge on atom X is then given by
  • Results are usually intuitive, but highly basis
    set dependent

5
Property Determination
  • Calculated charges on H
  • Meaningful comparisons between charges may only
    be made between calculations using the same model
    chemistry and basis set

6
Property Determination
  • Other charge-determination algorithms
  • Charges from Electrostatic Potentials
  • CHELPG
  • Merz, Singh, Kollman (MK,ESP,MSK)
  • All have the same idea
  • Calculate the electrostatic potential at a grid
    of points around the molecule
  • Use a least-squares fit to find point charges
    which best mimic the calculated electrostatic
    potential
  • Methods differ in number of grid points, and how
    to select them
  • Less arbitrary than Mulliken, and more widely
    accepted
  • Again, only meaningful to compare calculations
    using the same model chemistry and basis set

7
Property Determination
  • Comparison of Mulliken and CHELPG charges
  • Also shows basis set effects form dC,dO

Mulliken
CHELPG
8
Property Determination
  • While the electrostatic potential and the
    electron density are properties of the wave
    function, atomic point charges are not
  • Ultimately a futile task, as you are trying to
    match a continuous distribution of electron
    density (charge) with a series of d-functions
  • However, as the results are often used in
    empirical functions or qualitatively, they can be
    quite useful

9
Property Determination
  • A second property obtainable from the approximate
    wave function is the ionization potential
  • Recall the definition of ei
  • We can call ei an orbital energy
  • Via Koopmans Theorem, the energy required to
    remove an electron from an orbital is -ei
    (technically not correct)

Energies in a.u.
10
Property Determination
  • Multipole moments and polarizabilities
  • Apply a uniform external electric field to the
    molecule and ask for the effect on the energy of
    the system
  • Use perturbation theory to obtain
  • Q is the strength of the electric field, and the
    operator d is the electric dipole-moment operator
  • The answer we want is

11
Property Determination
  • We already have y0, so this is a quick
    calculation
  • m is the first-order correction to the system
    energy due to the perturbation of the electric
    field
  • The second-order correction yields the
    polarizability
  • Requires calculating the perturbation to the wave
    function
  • Formula not so straight forward
  • Comparison of dipole moments for various basis
    sets
  • Results are general In the limit of infinite
    basis set, H-F overestimates dipole moments

12
Property Determination
  • Electrostatics
  • Mulliken charges nearly free with SCF energy
    calculation
  • Electrostatic-potential based charges have a
    minimal cost
  • Dipole moments are nearly free with SCF energy
    calculation
  • Unlike charge distributions, dipole moment is a
    property of the wave function
  • Quadrupole and higher moments are also nearly
    free
  • Same routine as with dipole moments, different
    operator
  • Polarizabilities are nearly free with a harmonic
    frequency calculation

13
Property Determination
  • All the previous calculations assumed the nuclear
    configuration was known
  • Calculations took place at a fixed molecular
    geometry
  • Where does one obtain geometry?
  • Experimental/crystallographic
  • Find the minimum of your model chemisty energy
    surface
  • Full molecular energy, not just the electronic
    energy
  • Nuclear motion re-introduced to the problem

14
Property Determination
  • Nuclear motion is only introduced formally No
    need to try to uncouple correlation of nuclear
    motion
  • Instead, look at energy equation
  • Energy minimization corresponds to solving
  • subject to the 2nd derivative matrix being
    positive definite

15
Property Determination
  • This will turn out to involve derivatives of the
    (rstu) and (ruts) integrals, along with spatial
    derivatives of VNN
  • For gaussian-type basis functions, these
    derivatives are analytical, and many algorithms
    are available to efficiently find a minimum
  • Procedure
  • Solve SCF equations at a given point
  • Calculate derivatives with respect to the nuclear
    coordinates
  • Step to new point
  • Repeat until derivative convergence criteria is
    met
  • From this calculation, we can determine the
    optimum bond lengths, bond angles, and dihedral
    angles in a molecule

16
Property Determination
  • Performance for a couple of small molecules
  • Water
  • Ammonia

17
Property Determination
  • General Results
  • A-H bonds mean absolute errors (Hehre, Radom,
    v.R. Schleyer, and Pople, 1987)
  • A-B bonds

18
Property Determination
  • The extension of this method to transition states
    is mathematically simple, but algorithmically
    difficult
  • Energy minimizations converge readily from most
    reasonable starting points
  • Transition states require starting points in much
    closer proximity to desired end point to achieve
    convergence

19
Property Determination
  • Evaluation of molecular energies
  • Usually not terribly useful by themselves, but
    differences between molecular energies are
  • reaction energies (thermodynamic)
  • barrier heights (kinetic)
  • conformational equilibria
  • Basis set effects on molecular energies
  • Water
  • 1 Hartree627.5 kcal/mol
  • Difference is the correlation
  • energy

20
Property Determination
  • Formaldehyde
  • Hartree-Fock methods do not
  • accurately reproduce molecular
  • energies
  • However, errors are consistent across many
    molecules
  • All singly-bonded carbons have a particular
    error, all doubly-bonded oxygens have a
    particular error, etc.
  • Differences between molecular energies can be
    accurate

21
Property Determination
  • Isodesmic reactions
  • Isodesmicsame and type of bonds on both sides
    of reaction
  • Reaction energies (kcal/mol) are corrected for
    zero-point vibration
  • The quantity compared is DE at 0 K, and in a
    vacuum
  • Using vibrational frequencies, rotational
    temperatures, and translational constants, we
    could compare results to enthalpy changes at some
    finite temperature

22
Property Determination
  • A second type of quantity where the number and
    types of bonds do not change are calculated
    barriers to rotation and inversion
  • H-F predicted rotational barriers (staggered vs.
    eclipsed)
  • Energies found by optimizing geometry subject to
    a constraint on the angle of relative rotation
    between the two halves of the molecule

23
Property Determination
  • Barrier to inversion trigonal pyramid vs.
    planar configurations, tetrahedral vs. planar
  • Optimize geometry with constraints
  • General conclusion H-F performs well for
    problems where the number and types of bonds do
    not change during reaction

24
Property Determination
  • But, when the number or types of bonds do change
    ...
  • Bond Dissociation Reactions A Failing of H-F
    Theory
  • Inaccuracy stems from poor description of pairs
    of bonding
  • electrons
  • Underestimate the correlation, underestimate
    the amount of
  • energy needed to split bond
  • One would also expect poor description of
    transition states

25
Property Determination
  • In Summary For H-F using at least a 6-31g
    basis set
  • Bond lengths and angles are quite accurate (1)
  • Vibrational frequencies systematically high by
    10-12
  • Isodesmic reaction energies are accurate to 2-4
    kcal/mol
  • Zero-point vibrational energies accurate to 1
    kcal/mol (post-scaling)
  • Protonation/Deprotonation reactions accurate to
    10 kcal/mol DE O(100 kcal/mol)
  • Atomization and homolytic bond-breaking have
    large errors (25-40 kcal/mol)
  • Reaction barriers have large errors (Energies and
    geometries)

26
Property Determination
  • Harmonic frequencies
  • Used to characterize stationary points
  • all positive minimum
  • one negative transition state
  • Used with statistical mechanics formulas for
    thermochemistry
  • all calculations are performed at 0 K and in a
    vacuum
  • use frequencies to correct for zero-point
    vibration, finite temperature effects, entropies
  • Approximate molecular energy curve in the
    neighborhood of a stationary point as a parabola
  • Working equations resemble those for the harmonic
    oscillator
  • Solution requires second derivatives of the
    (rstu) and (ruts) integrals, along with the
    second derivatives of VNN

27
Property Determination
  • Harmonic frequencies
  • For H-F theory, the second derivatives are
    analytic
  • Generally, most computationally intensive part of
    a study
  • In practice, scales as N3.5 where N is the number
    of basis functions
  • Typical Results
  • Water
  • It has been found that H-F frequencies are
    generally 10-12 too high
  • Standard suggested scale factor is 0.8929

28
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