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Handbook of Solvents - George Wypych - ChemTech - Ventech!

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8.7 Theoretical and computing modeling 485<br />

activity, the reproduction <strong>of</strong> spectra <strong>of</strong> various nature, just to quote the most common applications)<br />

have been already successfully performed. 83 Many <strong>of</strong> these extensions have been<br />

made possible by the formulation and the following implementation <strong>of</strong> efficient procedures<br />

to get analytical derivatives <strong>of</strong> the free energy in solution with respect to various parameters.<br />

100 To understand the role <strong>of</strong> this methodological extension in the actual development <strong>of</strong><br />

the solvation models we just recall the importance <strong>of</strong> an efficient computation <strong>of</strong> analytical<br />

gradients with respect to nuclear coordinates to get reliable geometry optimizations and dynamics.<br />

101<br />

It is here important to recall that such improvements are not limited to BE solvation<br />

methods; for example, Rivail and the Nancy group 102 have recently extended their<br />

multipole-expansion formalism to permit the analytic computation <strong>of</strong> first and second derivatives<br />

<strong>of</strong> the solvation free energy for arbitrary cavity shapes, thereby facilitating the assignment<br />

<strong>of</strong> stationary points on a solvated potential energy surface. Analytic gradients for<br />

SMx models at ab initio theory have been recently described 103 (even if they have been<br />

available longer at the semiempirical level 104 ), and they have been presented also for finite<br />

difference solutions <strong>of</strong> the Poisson equation and for finite element solutions.<br />

Many other extensions <strong>of</strong> different importance have been added to the original BE<br />

models in the last few years. Here it may be worth recalling a specific generalization which<br />

also has made BE models preferable in particular applications until now almost completely<br />

restricted to FE and FD methods.<br />

At the beginning <strong>of</strong> the present section we indicated the simplified system (4), valid<br />

only in the limit <strong>of</strong> an homogeneous and isotropic dielectric, the commonly studied problem;<br />

actually, this has been the only affordable system until recently, with some exceptions<br />

represented by systems constituted by two isotropic systems with a definite interface. The<br />

situation changed only a few years ago (1997-1998) when BE-ASC methods were extended<br />

to treat macroscopically anisotropic dielectrics (e.g., liquid crystals), 99 ionic solutions (e.g.,<br />

isotropic solutions with nonzero ionic strength), 99 and supercritical liquids. 105<br />

Another important feature included in BE methods, as well in other continuum methods,<br />

are the dynamical effects.<br />

In the previous section devoted to Physical Models, we have recalled that an important<br />

issue <strong>of</strong> all the solvation methods is their ability to treat nonequilibrium, or dynamical, aspects.<br />

There, for clarity’s sake, we preferred to skip the analysis <strong>of</strong> this feature, limiting the<br />

exposition to static, or equilibrium problems; here, on the contrary, some comments will be<br />

added.<br />

In continuum models no explicit reference to the discrete microscopical structure <strong>of</strong><br />

the solvent is introduced; on one hand, this largely simplifies the problem, but on the other<br />

hand it represents a limit which can effect the quality <strong>of</strong> the calculations and their extensibility<br />

to more complex problems such as those involving dynamical phenomena. However,<br />

since the first formulations <strong>of</strong> continuum models, different attempts to overcome this limit<br />

have been proposed.<br />

One <strong>of</strong> the theories which has gained more attention identifies the solvent response<br />

function with a polarization vector depending on time, P(t), which varies according to the<br />

variations <strong>of</strong> the field from which it is originated (i.e., a solute and/or an external field). This<br />

vector accounts for many phenomena related to different physical processes taking place inside<br />

and among the solvent molecules. In practice, strong approximations are necessary in<br />

order to formulate a feasible model to deal with such complex quantity. A very simple but

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