Reviews in Computational Chemistry Volume 18
Reviews in Computational Chemistry Volume 18
Reviews in Computational Chemistry Volume 18
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116 Polarizability <strong>in</strong> Computer Simulations<br />
methods. 10,168 F<strong>in</strong>ally, the parameters themselves can be directly calculated<br />
us<strong>in</strong>g density functional theory (DFT) methods. 169,170<br />
As presented, the EE approach given by Eq. [43] is a simple mathematical<br />
model result<strong>in</strong>g from a Taylor series; it can be given a more rigorous foundation<br />
us<strong>in</strong>g electronic density functional theory. 169 Us<strong>in</strong>g DFT, and mak<strong>in</strong>g<br />
simplify<strong>in</strong>g approximations for the exchange and k<strong>in</strong>etic energy functionals,<br />
expressions analogous to Eq. [43] can be derived. 130,131,171 This approach<br />
has been termed chemical potential equalization (CPE). 130 Efforts like CPE<br />
or even parameterizations of fluctuat<strong>in</strong>g charge models us<strong>in</strong>g electronic structure<br />
calculations represent a step away from empirical potential models toward<br />
ab <strong>in</strong>itio simulation methods. However, even with a sophisticated treatment of<br />
the charges, empirical terms <strong>in</strong> the potential such as the Lennard–Jones <strong>in</strong>teraction<br />
still rema<strong>in</strong>. A standard method is to set the Lennard–Jones parameters<br />
so that the energies and geometries of important dimer conformations (e.g.,<br />
hydrogen-bonded dimers) are close to ab <strong>in</strong>itio values. 10,144,145,166 In some<br />
cases, the rema<strong>in</strong><strong>in</strong>g potential parameters have been taken from exist<strong>in</strong>g force<br />
fields. 146,150 One <strong>in</strong>terest<strong>in</strong>g extension of the fluctuat<strong>in</strong>g charge model has<br />
been developed by Siepmann and co-workers. 147 In their model, the<br />
Lennard–Jones size parameter becomes a variable that is coupled to the charge<br />
on a given atom. The size of the atom <strong>in</strong>creases as the atom becomes<br />
more negatively charged and obta<strong>in</strong>s greater electronic density. This <strong>in</strong>crease<br />
<strong>in</strong> size is thus consistent with physical <strong>in</strong>tuition. Other models <strong>in</strong> which some<br />
of the rema<strong>in</strong><strong>in</strong>g potential parameters are treated as variables are described <strong>in</strong><br />
the next section.<br />
SEMIEMPIRICAL MODELS<br />
A number of quantum polarizable models have been developed. 144,172–177<br />
These treatments of polarizability represent a step toward full ab <strong>in</strong>itio methods.<br />
The models can be characterized by a small number of electronic states or<br />
potential energy surfaces, which are coupled to each other. For the purposes of<br />
this tutorial, our description is of the method of Gao. 173,174 In his method,<br />
molecular orbitals, f A, for each molecule are def<strong>in</strong>ed as a l<strong>in</strong>ear comb<strong>in</strong>ation<br />
of N b atomic orbitals, w m,<br />
f A ¼ XN b<br />
m ¼ 1<br />
cmAw m<br />
As is standard <strong>in</strong> semiempirical methods, 178 the molecular orbitals are orthonormal,<br />
so the overlap matrix, SAB, is assumed to be diagonal. The molecular<br />
wave function, a, is a Hartree 144 or Hartree–Fock 173 product of the molecular<br />
orbitals. For a (closed-shell) molecule with 2M electrons, there will be M<br />
doubly occupied molecular orbitals. The wave function of a system comprised<br />
½54Š