Molecular
Orbital
Calculations
of
KO,
H2O and Phenol
Performed by: Heather Barkholtz and Alyssa Dreger
March 9, 2011
Introduction
The location of of electrons and the value of their
energies allow the prediction and base of calculations of molecular
dipole moment, polarizability, vibrational frequencies, probability of
absoption of visible light and the tendency to donate electrons for
each reaction.1 Jmol. GAMESS and Molecular Mechanics were
used in this experiment to detetmine and calculate these various
values.
Molecular
mechanics
bases
calculations
upon
classical
instead
of
quantum
mechanics
by
treating
molecules
as harmonic oscillators. Force constants of
different types
of molecules are derived from vibrational and rotational spectroscopy.1
Molecular mechanics is primarily used for predicting molecular geometry
and
qualitative information about relative energies of different molecular
conformations.1 GAMESS
is
a
program
which
has
several
different
systems
which
allow
it to
perform
various calculations on one molecular system. MOPAC is one system which
is
semi-empirical. It uses this data to provide an estimate of the
electron
overlap integrals to determine the values of <H>.1 The
Hamiltonian
<H> is “an operator that carries out a mathematical
function on the function (ψ).”2
Most commonly used in this environment, this operation is the second
derivative
of ψ which is then added
to the product of V(x). This has a significant impact on quantum
mechanics in
that it corresponds to the total energy of the system (the sum of the
potential
and kinetic energies). MOPAC principally performs four different
calculations;
MNDO (moderate neglect of differential overlap), MNDO/3, AM1 and PM3.
“The
parameterization is derived from experimentally determined enthalpies
of
formation, ground state geometries, dipole moments and ionization
potentials.”1
AM1 and PM3 are principally the calculations run in this experiment
performed
on all molecular systems. The
other
type
of
calculations
performed
through
the
GamessQ
is
done
with
ab
initio. Ab initio calculates all
integrals, yet approximations still reside due to the result of a
finite basis
set and a self consistent field model. Ab
inito is good software for calculating geometries, vibrational
frequencies,
electronic transition frequencies, dipole moments and other various
functions. MINI
is the lowest level of calculation performed in ab initio
which gives quick approximate results. The next level is
6-21G Gaussian basis set. 6-31G, DZV and TVZ (double and triple zeta
valence)
are the increasing levels subsequently.1 Calculations were
performed
on KO (M.W. 55.0977 g/mol, linear geometry), H2O (M.W.
18.0153
g/mol, bent geometry, dipole moment at 1.85 D, and vibrational
frequencies at
3656.65, 1594.59, and 3755.79Å) and phenol (C6H5OH,
M.W.
94.1112
g/mol,
dipole
moment
at
1.7
D
and
vibrational
frequencies
at
36800-1300
and 1300-650Å)3 respectively. Because KO is a diatomic
molecule,
rarely exists and therefore has no bond, only MINI and TZV were
performed on
KO. The more typical calculations, 6-21G, 6-31G and DZV were performed
on the
aromatic and polyatomic compounds H2O and phenol.
Calculations were
performed by building a molecule, molecular mechanics, MOPAC and then ab initio.
Experimental The assigned molecules were first
designed in wxMacMolPlt and
attached with a file name of .cml. Once created these files were opened
in Jmol
and mechanically optimized and saved as a .xyz file. From these files,
an AM1
and a PM3 geometry optimization were done and saved as an input (.inp)
file
using the MOPAC input builder and queuing the run through GAMESS. Once
the
optimization had successfully run the log file was saved and opened in
wxMacMolPlt to ensure the molecular optimization has run in as few
steps as
possible. Using the results from the AM1 and the PM3 runs, the higher
order
calculations, TZV for KO, and 6-21G, 6-31G and DZV for H2O
and
phenol, were performed using the same technique used for prior
calculations.
Multiple runs were necessary for all molecules to ensure the lowest
energy
level possible.1 The results were then saved as log files
again, and
an energy plot was made for the KO using Igor Pro.The
dipole moment was then extracted from the log files using Text Editor.
Geometry
optimization was performed a second time on the smallest polar molecule
using
diffuse functions. Once completed, a potential energy surface versus
bond
length plot was made for KO. This was done using ab initio for
6-21G,
6-31G and DZV for both water and phenol.
Finally using GamesQ .inp files were created for UV-Vis spectra of both
water
and phenol. Potential energy plot were then created using IgorPro and
molecular
vibrations of each molecule were compared using Jmol.1
There are various situations in which computational
results can be useful and others in which it is too time consuming and
not useful. In times for the need of extremely accurate data or in
situations in which multiple calculations are needed to be done
efficientl, computational results and mechanics are useful. Instances
in which a simple or few calculations need to be done computational
data would not be useful because it would be quicker to perform the
calculations manually. Computational data is also quite useful when
experiments are diffcult to perform or the results from an experiment
are inaccurate. Computational data is quite reliable and therefore in
situations in which future experiments or further data depends on
existing data, computational data would be more useful than manual or
experimental data. Computational results are useful in determining
ground state geometries, relative energies and enthalpies however are
not useful for UV-Vis and dipole moment calculations.
References
1.Gutow, J. Chemistry
371 Lab Manual; University of Wisconsin-Oshkosh Spring 2011,p 14-18. 2.Atkins, P.; DePaula, J. Physical
Chemistry; 9 ed.; W.H.Freemany and
Company: New York, 2010, p 267. 3.NIST
Chemistry WebBook2008, http://webbook.nist.gov/chemistry/
accessed Mar. 62011.