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Handbook of Solvents - George Wypych - ChemTech - Ventech!

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476 Jacopo Tomasi, Benedetta Mennucci, Chiara Cappelli<br />

sion whether to make an insertion or a removal is made randomly with equal probabilities.<br />

The trial configuration is accepted if the pseudo-Boltzmann factor:<br />

N<br />

[ Nβμ−log N! −βVN<br />

( r ) ]<br />

W = e<br />

N<br />

increases. If it decreases, the change is accepted when equal to:<br />

WN+<br />

1 1 [ βμ−β( VN+ 1−VN]<br />

= e<br />

W N + 1<br />

N<br />

for the insertion, or to:<br />

WN<br />

W<br />

N<br />

[ βμ β( VN+ VN]<br />

= Ne<br />

−1 − − 1−<br />

[8.107]<br />

[8.108]<br />

[8.109]<br />

for the removal.<br />

This method works very well at low and intermediate densities. As the density increases,<br />

it becomes difficult to apply, because the probability <strong>of</strong> inserting or removing a particle<br />

is very small.<br />

As we have already said, the grand canonical Monte Carlo provides a mean to determining<br />

the chemical potential, and hence, the free energy <strong>of</strong> the system. In other MC and<br />

MD calculations a numerical value for the free energy can always be obtained by means <strong>of</strong><br />

an integration <strong>of</strong> thermodynamic relations along a path which links the state <strong>of</strong> interest to<br />

one for which the free energy is already known, for example, the dilute gas or the low-temperature<br />

solid. Such a procedure requires considerable computational effort, and it has a low<br />

numerical stability. Several methods have been proposed and tested.<br />

The difficulties in using MC and MD arise from the heavy computational cost, due to<br />

the need <strong>of</strong> examining a large number <strong>of</strong> configurations <strong>of</strong> the system usually consisting <strong>of</strong> a<br />

large number <strong>of</strong> particles. The size <strong>of</strong> the system one can study is limited by the available<br />

storage on the computer and by the speed <strong>of</strong> execution <strong>of</strong> the program. The time taken to<br />

evaluate the forces or the potential energy is proportional to N 2 .<br />

Other difficulties in molecular simulations arise from the so-called quasi-ergodic<br />

problem, 77 i.e., the possibility that the system becomes trapped in a small region <strong>of</strong> the phase<br />

space. To avoid it, whatever the initial conditions, the system should be allowed to<br />

equilibrate before starting the simulation, and during the calculation, the bulk properties<br />

should be carefully monitored to detect any long-time drift.<br />

As already said, apart from the initial conditions, the only input information in a computer<br />

simulation are the details <strong>of</strong> the inter-particle potential, almost always assumed to be<br />

pair-wise additive. Usually in practical simulations, in order to economize the computing<br />

time, the interaction potential is truncated at a separations r c (the cut-<strong>of</strong>f radius), typically <strong>of</strong><br />

the order <strong>of</strong> three molecular diameters. Obviously, the use <strong>of</strong> a cut-<strong>of</strong>f sphere <strong>of</strong> small radius<br />

is not acceptable when the inter-particle forces are very long ranged.<br />

The truncation <strong>of</strong> the potential differently affects the calculation <strong>of</strong> bulk properties,<br />

but the effect can be recovered by using appropriate “tail corrections”. For energy and pressure<br />

for monoatomic fluids, for example, these “tail corrections” are obtained by evaluating

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