28.02.2013 Views

Handbook of Solvents - George Wypych - ChemTech - Ventech!

Handbook of Solvents - George Wypych - ChemTech - Ventech!

Handbook of Solvents - George Wypych - ChemTech - Ventech!

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

8.8 Practical applications <strong>of</strong> modeling 491<br />

∞<br />

000<br />

∫(<br />

00 ( ) )<br />

2<br />

ρkTκ = 1+ 4πρ g R −1<br />

R dR<br />

T<br />

0<br />

12 12<br />

12<br />

[8.137]<br />

and exploiting SSOZ can be calculated from any site-site distribution function g αβ as:<br />

∫(<br />

() )<br />

∞<br />

ρkTκT = 1+ 4πρ gαβ r −1<br />

r dr<br />

2<br />

0<br />

[8.138]<br />

For acetone and chlor<strong>of</strong>orm, the obtained results are too large.<br />

Relaxation times and diffusion coefficients<br />

Let us now consider an example <strong>of</strong> how to calculate dynamic properties <strong>of</strong> pure liquids by<br />

computational methodologies. As already said in Section 8.7.2, molecular dynamics simulations<br />

are able to take into account the time-dependence in the calculation <strong>of</strong> liquid properties.<br />

Paying attention to pure acetone, Brodka and Zerda 116 have calculated rotational relaxation<br />

times and translational diffusion coefficients by molecular dynamics simulations. In<br />

particular, the calculated rotational times <strong>of</strong> the dipole moment can be compared with a molecular<br />

relaxation time τM obtained from the experimentally determined τD by using the following<br />

expression, which considers a local field factor:<br />

τ<br />

M<br />

2εs<br />

ε<br />

=<br />

3ε<br />

+ ∞<br />

s<br />

τ<br />

D<br />

[8.139]<br />

where ε s and ε ∞ are the static and optical dielectric constants, respectively. The calculated<br />

data are in good agreement with experimental values.<br />

Diffusion coefficients can be calculated directly from the velocity correlation functions<br />

or from mean square displacements, as:<br />

∞<br />

vcf 1<br />

D = ∫ v() t v( 0)<br />

dt<br />

3<br />

D<br />

msd<br />

0<br />

=<br />

i→∞<br />

lim<br />

t<br />

1<br />

6<br />

() ( )<br />

rt r<br />

0 2<br />

[8.140]<br />

[8.141]<br />

The values obtained by using the [8.140] or the [8.141] are almost the same, and properly<br />

describe the experimental temperature and density dependencies <strong>of</strong> the diffusion coefficients,<br />

even if about 30% smaller than obtained using NMR spin-echo techniques.<br />

Among the pure solvents we have treated so far, other available data regard the calculation<br />

<strong>of</strong> the self diffusion coefficient (D) for liquid ethanol at different temperatures. 115d<br />

The D parameter was obtained from the long-time slope <strong>of</strong> the mean-square displacements<br />

<strong>of</strong> the center <strong>of</strong> mass: experimental changes <strong>of</strong> D over the 285-320K range <strong>of</strong> temperatures<br />

were acceptably reproduced by molecular dynamics simulations.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!