Page 219 - Adsorbents fundamentals and applications
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204   π-COMPLEXATION SORBENTS AND APPLICATIONS

                     DFT electron correlation, with parameters adjusted to provide the best fit with
                     specific experimental data. The dynamic interaction between electrons is theoreti-
                     cally included by these density functional methods. This gives these methods the
                     benefit of including electron–electron correlation for a computational expense
                     similar to HF, giving DFT methods the major advantage of low computational
                     cost compared to accuracy (Hohenberg and Kohn, 1964; Kohn and Sham, 1965;
                     Parr and Yang, 1989; Foresman and Frisch, 1996).


                     8.2.4. Ab Initio Methods
                     Quantum mechanics provides a potential method for the complete description
                     of the electronic properties of molecular systems, their structures, physical and
                     chemical properties, and reactivities. Unlike semi-empirical methods, ab initio
                     methods use no experimental parameters in their computations; they are based
                     solely on the laws of quantum mechanics — the first principles referred to in
                     the name ab initio (Foresman and Frisch, 1996). The computational difficulties
                     encountered in the general case, as well as the magnitude of extraneous infor-
                     mation generated by multi-electron wave functions, have been overcome by the
                     development of entire conceptual frameworks, new computational methods, and
                     more powerful computational machines. Progress in molecular orbital calcula-
                     tion has made it possible to make reliable predictions of molecular structures,
                     relative energies, potential surfaces, vibrational properties, reactivities, reaction
                     mechanisms, and so on. An increasing number of molecular orbital computer pro-
                     grams have become available, for example, Gaussian, GAMESS and AMPAC.
                     Among all programs, Gaussian is most popular and has been applied success-
                     fully in many fields. It provides high-quality quantitative predictions for a broad
                     range of systems. Gaussian 98 can handle jobs of more than 100 atoms on
                     supercomputer systems.
                       Different ab initio methods can be characterized by their treatment of elec-
                     tron–electron interactions, that is, electron correlation. The first practical ab initio
                     method was the HF method, which treats each electron as if it exists in a uni-
                     form field made from the total charge and space occupied by the other electrons.
                     This treatment is only an approximation to the interactions between electrons
                     as point charges in a dynamic system and excludes the contribution of excited
                     electronic configurations. This neglect of electron correlation can lead to sig-
                     nificant errors in determining thermochemical properties. It was theorized that
                     the electron correlation was a perturbation of the wave function known as the
                     Møller/Plesset perturbation (MP) theory, so the MP theory could be applied to
                     the HF wave function to include the electron correlation. As more perturbations
                     are made to the system, more electron correlation is included. These methods are
                     denoted as MP2, MP3, and MP4. Another method is to calculate the energy of
                     the system when electrons are moved into vacant orbitals, such as the QCISDT
                     (quadratic configuration interaction with all single and double excitations and
                     perturbative inclusion of triple excitations) method, which improves energy val-
                     ues but at greater computational costs (Clark, 1985; Hehre et al., 1986; Foresman
                     and Frisch, 1996).
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