Molecular Orbital Calculations of Hydrogen Fluoride, Cyclopropane, and Anisole

                                                                                                                                                                   
                                                                                                                                                                    By: Danielle Kraak and Kevin Koerber


Abstract

    In this experiment, different levels of optimization were used to determine properties of hydrogen fluoride, cyclopropane, and anisole.  There were two levels used at the MOPAC: AM1 and PM3.  There were three levels used at the ab initio: 6-21G, 6-31G, and DZV.  DZV is known as the lowest energy therefore the highest level of optimization.  The difference between these is the number of trial wave functions, or Gaussians, used.  The energy decreases as the number of Gaussians increases.  Though DZV is the lowest energy, is not always the best calculation, it depends on the molecule as well as the property being measured.


Introduction

When talking about molecules, it is very important to understand the electronic structure.  With the knowledge of the electronic structure, it makes predicting properties like dipole moments, polarizability, vibrational frequencies, probability of visible light, and tendency to donate electrons very useful.  Calculating electronic structures were initially done using pen and paper, but computers have proven to be more reasonable considering the length of some of these calculations as well as the number of interactions that had to be taken into account with larger molecules.  The calculations involve calculating the expectation value of the energy with trial wave functions to calculate the lowest energy.  The variation principle states that the lowest energy version of the wave function is the best approximation to the actual wave function.  The wave function is dependent upon the location of all the electrons and the nuclei.  There are different basis sets that use different variations of the electrons and nuclei relative to each other to obtain trial wave functions.  The number of probable arrangements of electrons and nuclei are known as Gaussians.  Basis sets are what are used to determine the lowest possible energy; basis sets improve by the number of Gaussians (trial wave functions) used in the calculation.  Computers allow uses of different basis sets, which improves the prediction of the geometries and energies.  There is a wide variety of basis sets, but the ones used in this experiment are AM1, PM3, 6-21G, 6-31G.  The difference among these different optimization levels is the amount of Gaussians used in the calculations.  The goal is to obtain the lowest possible energy using the maximum number of Gaussians.  The MOPAC is a semi-empirical method, which uses empirical data to provide estimates of the values for two electrons overlap integrals needed for calculating the expectation value.  The choices of optimization in this method were AM1 and PM3.  This doesn’t give the lowest energy usually because of the moderate neglect of differential overlap.  The best level of basis sets is the ab initio, which contains the 6-21G, 6-31G, and DZV respectively decreasing in energy.

In this experiment, several calculations were made to determine different properties of hydrogen fluoride, cyclopropane, and anisole.  Majority of the calculations done were done using GAMESSQ because this software contains many methods for doing the calculations done in this experiment.  The first guesses of the structure of the molecules were done using a software program called Avagadro.  Using these initial structures, the software MacMol Plt was used to generate AM1 and MM3 geometry optimization input files.  GamessQ was used to submit these to the GAMESS package.  Doing this further optimized the structures to give more accurate structure.  The AM1 optimization was then further optimized to the 6-21G, and then the 6-21G was further optimized to the 6-31G, which was finally optimized to the DZV.  After all these calculations, the lowest energy optimization was determined and placed into Jmol to determine different properties like bond lengths and angles, electric potential, dipole moments, vibrational frequencies, and UV-Vis data.      

           

These calculated values can be seen using these links to each molecule: Hydrogen Fluoride Cyclopropane Anisole

 

Conclusion

    Overall, it is clear that the expected level of optimization isn’t always the correct level.  For example, in a couple cases the 6-31G proved to be more accurate than the DZV even though the DZV is the minimum energy for optimization.  The values obtained in hydrogen fluorine had small error values.  For the dipole compared to literature it was 1.1% and for the vibrational frequency, it was 2.32%.  The errors calculated in cyclopropane’s vibrational frequencies ranged from 2% to 10%.  Looking at these two it becomes clear that these calculations done are better for smaller molecules compared to larger molecules.  This is because the number of interactions of electrons and nuclei are being increasing making more possible wave functions.  Even though the DZV optimization takes into account many trial wave functions, it is still an estimate that isn’t always correct.  Even though this doesn’t always give ideal solutions, it is a faster and more efficient way of predicting the electronic structure to go on and predict properties of the molecules.

 

References


1. Anisole, 2011, National Institute of Standards and Technology. http://webbook.nist.gov/cgi/cbook.cgi?Name=Anisole&Units=SI

 

2. Cyclopropane, 2011, National Institute of Standards and Technology. http://webbook.nist.gov/cgi/cbook.cgi?Name=cyclopropane&Units=SI

 

3. General Chemistry. http://www.vias.org/genchem/dipole_moment_table.html (accessed Mar 9, 2015)

 

4. Gutow, J. Molecular Orbital (MO) Calculations; Lab Manual: University of Wisconsin-Oshkosh, revised Feb. 2015

 

5. Hydrogen fluoride, 2011, National Institute of Standards and Technology. http://webbook.nist.gov/cgi/cbook.cgi?ID=C7664393&Units=SI