Investigating the effect of the third species and calculating the second virial coefficient of F2 gas using the QCISD(T)aug-cc-pVTZ theoretical surface

Number of pages: 159 File Format: word File Code: 31832
Year: 2011 University Degree: Master's degree Category: Physics
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  • Summary of Investigating the effect of the third species and calculating the second virial coefficient of F2 gas using the QCISD(T)aug-cc-pVTZ theoretical surface

    Dissertation

    To receive a Master's degree

    Physical Chemistry

    Abstract

    In this research, to evaluate the level of intermolecular potential energy (IPS) of the F2-F2 system, the second virial coefficient of fluorine gas was calculated. The IPSs were obtained using the QCISD(T) level of theory and the cc-pVTZ-aug basis set. Calculations were performed in the temperature range of 100 to 600 K using uncorrected and corrected potentials with the top-down (CP) correction method. In addition, the effect of the Boltzmann factor on the second virial coefficient was also investigated and it was observed that the values ??obtained by considering this factor are less different from the experimental values. The effect of the third body on the intermolecular potential, or in other words, the validity or invalidity of the pairwise additivity of the potentials in the F2-F2 system, was also studied. For this purpose, the third fluorine monomer approached the center of the F2-F2 system in the three main directions X, Y, Z and the interaxial directions XY, XZ, and YZ. QCISD(T) theoretical level was used as the highest theoretical level of calculations. All calculations were done using Gaussian09 and in Linux environment. It was observed that at a distance of 6 angstroms from the center of the F2-F2 system, the effect of the third species can be ignored.

    Introduction

    Computational chemistry, especially quantum mechanical calculations, is a new approach to known physical and chemical phenomena that can lead to a better understanding of the world around us. Today, with the increasing progress of computers, we are able to study various phenomena in very complex matrices such as biological systems and nanotechnology, and it is obvious that conducting such studies first of all requires a broad understanding of physical and chemical phenomena, the invention and innovation of new study methods and documented and targeted analysis. is being studied. Obviously, different logical structures can be attributed to a molecular system based on chemical-physical principles. The method of quantum computation helps us to obtain a set of the most stable structure by minimizing the potential energy function. In an optimized geometric structure, all geometric parameters of the molecule are available. Therefore, by having the coordinates of the atoms in such a structure, one can predict the electron density of the system (in the density subordination theory method) [1] or the electron wave function of the system (in the Hartree-Fock method [2]) using suitable quantum computing methods, and then various information such as NMR, NQR, energy parameters and so on. get the Finally, the most suitable structure can be chosen from the comparison of the calculated results with the experimental results. For example, one of the most important aspects in the study of the structure of biomolecules such as proteins and nucleic acids is the hydrogen bond, for which nuclear quadrupole resonance spectroscopy is one of the most powerful and accurate methods for their study. In a Hartree-Fock self-consistent field calculation, the goal is to find the antisymmetric product of one-electron functions that minimizes the energy integral. Since it is correct, therefore the HF-SCF calculation is based on the calculation. The term should not be interpreted as 100% correct. In a molecular orbital basis (SCF-MO) calculation, the single-electron spin-orbital is expanded by the antisymmetric product approximation and a limited and consequently incomplete basis set is used. In the density subordination method, the molecular wave function is not calculated, but the molecular electron probability density is calculated, and the molecular electron energy is calculated from It is obtained.

    In the molecular mechanics method [3], molecular Hamiltonian operator or wave function is not used. Instead, in this method, the molecule is viewed as a collection of atoms that are connected to each other through bonds, and molecular energy is expressed in terms of force constants related to bond stretching, bond bending, and twisting around bonds and other parameters [1].

    1-2) Computational chemistry methods

    The first calculations in computational chemistry were performed by Walter Hitler[4] and Fritz Landen[5] in 1927. Computational chemistry methods can be classified into two large categories called non-quantum mechanical methods such as molecular mechanical methods that follow the laws of classical mechanics and quantum mechanical methods[6]. Molecular dynamics uses the laws of classical physics to predict the structures and properties of molecules.

    There are various methods of molecular mechanics, each of which is characterized by a special force field. A force field includes the following components:

    A- A group of types of atoms determine the nature of an element in a special chemical environment. Different types of atoms show different characteristics and behavior towards an element, depending on its environment. For example, a carbon atom in a carbonyl group behaves differently than a carbon bonded to three hydrogens. The type of atom depends on the hybridization, the charge and the types of atoms attached to it.

    B- A set of equations determine how the potential energy of a molecule changes with the position of its constituent atoms.

    C- One or more parameters, which determine the equations and types of atoms. relate to experimental data. The parameters defined as force constants are quantities used in equations to relate atomic properties to energy and structural data such as bond lengths and angle sizes.

    Molecular mechanics calculations do not explicitly discuss the electrons of a molecular system. Instead, they perform calculations related to internuclear interactions. In these calculations, electron effects are included to some extent in the force fields.

    This approximation makes molecular mechanics calculations cheaper and enables its use for many large systems.

    Of course, this method also has several limitations, the most important of which are:

    Each force field only It provides good results for a limited group of molecules, and none of them can usually be used for all molecules.

    Since this method ignores the connection between the structure or the interaction of a molecule with its electronic structure, it cannot be used in cases such as bond breaking, electron charge transfer, or photochemical processes [2].

    Abstract

    In this project, the second virial coefficient of the fluorine gas was calculated to give a first, simple test of the quality of the fitted QCISD ab initio points were fitted. It was obtained in the range of 100 to 600 kelvin. Intermolecular potential energy surface (IPS) of the F2-F2 system was performed by QCISD method and with aug-cc-pVTZ basis set by Darvah. Comparison of the values ??of the second virial coefficient calculated based on the corrected and uncorrected potentials with available experimental data reported by Dymond and Smith showed that the counterpoise correction method for ab initio calculation of IPS is necessary. It has seen that the value of the second virial coefficient with consideration Boltzmann's statistical weight is closer to experimental data

  • Contents & References of Investigating the effect of the third species and calculating the second virial coefficient of F2 gas using the QCISD(T)aug-cc-pVTZ theoretical surface

    List:

    Chapter One: Overview of Theoretical Computing Methods 1

    1-1) Introduction 2

    1-2) Computational Chemistry Methods. 3

    1-2-1) Molecular mechanics methods. 3

    1-2-2) Quantum mechanics methods. 5

    1-2-2-1) Basic methods. 5

    1-2-2-1-1) Born-Oppenheimer approximation 9

    1-2-3) Gaussian methods. 10

    1-2-4) Vardashi methods. 12

    1-2-4-1) open and closed shell systems. 12

    1-3) Hartree-Fack theory. 13

    1-3-1) Schr?dinger equation 15

    1-4) Basic set. 16

    1-4-1) Minimum basic sets. 20

    1-4-2) Split valence basis sets. 21

    1-4-3) Polarized basis sets 21

    1-4-4) Correlation-compatible sets 22

    1-4-6) Basic set truncation error. 22

    1-4-7) superposition error of the base set. 23

    1-5) electron correlation. 24

    1-5-1) Configuration interaction method. 25

    1-5-1-1) Full configuration interaction method. 25

    1-5-1-2) Configuration interaction method with single excitation (CIS) 26

    1-5-1-3) Configuration interaction method with single and double excitation (CISD) 26

    1-5-1-4) Square configuration interaction method. 27

    1-5-1-5) 2nd order configuration interaction method, with single and double substitution (QCISD) 27

    1-5-2) Paired cluster method 28

    1-6) Muller-Plest perturbation theory. 28

    1-7) Program structure. 30

    1-8) density subordination theory. 31

    1-9) intermolecular potentials. 33

    1-9-1) Long range interaction potential. 34

    1-9-2) short-range interaction potential 35

    1-10) second virial coefficient. 35

    1-10-1) The origin of the virial state equation. 37

    1-10-3) Examining the virial state equation through statistical mechanics. 42

    1-10-4) Classical description of the second virial coefficient. 45

    1-11) Multiparticle interactions and the effect of the third species. 48

    1-12) Information about fluorine 54

    1-12-1) History of fluorine 55

    1-12-2) Applications of fluorine 55

    1-12-3) Physical properties of fluorine 65

    1-12-4) Chemical properties of fluorine 58

    1-12-5) Fluorine compounds 58

    1-12-6) The effect of fluorine on humans, nutrition and health. 58

    1-12-7) How fluorine works in the body. 60

    1-12-8) food sources of fluorine 61

    1-12-9) effects of fluorine on the environment. 62

    Chapter Two: Calculation of the second virial coefficient of fluorine gas using the QCISD(T)/Aug-cc-pVTZ method. 63

    2-1) Introduction 64

    2-2) Computing history of the second virial coefficient. 66

    2-3) calculation method of second virial coefficient for gas molecule F2 75

    2-4) conclusion. 96

    Chapter 3: Investigating the effect of the third species of the F2-F2 system with the aug-cc-pVTZ basis set at the QCISD(T) theoretical level 99

    3-1) Introduction 100

    3-2) History. 102

    3-3) Investigating the effect of the third species on the intermolecular potential of F2-F2 system 113

    3-4) Conclusion. 129 References 13 Source: [1] Levine, Quantum Chemistry, Fifth Edition, Prentice-Hall. 2000.

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Investigating the effect of the third species and calculating the second virial coefficient of F2 gas using the QCISD(T)aug-cc-pVTZ theoretical surface