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Handbook of Solvents - George Wypych - ChemTech - Ventech!

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4.3 Polar solvation dynamics 137<br />

ations: The first fluctuation dissipation theorem states that following a step function change<br />

in F:<br />

() ()<br />

F t = 0, t < 0; F t = F , t ≥0<br />

[4.3.21]<br />

j j j<br />

the corresponding averaged system’s observable relaxes to its final equilibrium value as<br />

t →∞according to<br />

( )<br />

1<br />

X j() t − X j(<br />

∞ ) = ∑F<br />

X X () t − X X<br />

kT<br />

B<br />

l<br />

l j l j l<br />

[4.3.22]<br />

where all averages are calculated with the equilibrium ensemble <strong>of</strong> H 0. Applying Eq.<br />

[4.3.22] to the case where a sudden switch <strong>of</strong> a point charge q → q+Δq takes place, we have<br />

2 Δq<br />

( ΦΦ Φ ) ΦΦ()<br />

t<br />

Δq<br />

Φ() t − Φ(<br />

∞ ) = () t − =<br />

kT<br />

kT<br />

B B<br />

δ δ [4.3.23]<br />

The left hand side <strong>of</strong> [4.3.23], normalized to 1 att=0,isalinear approximation to the solvation<br />

function<br />

St ()<br />

E t E<br />

t<br />

solv () − solv ( ∞)<br />

Φ() − Φ(<br />

∞)<br />

=<br />

LR<br />

E ( 0)<br />

−E ( ∞)<br />

Φ( 0) − Φ(<br />

∞)<br />

solv solv<br />

[4.3.24]<br />

and Eq. [4.3.23] shows that in linear response theory this non equilibrium relaxation function<br />

is identical to the equilibrium correlation function<br />

St () LRCt ()<br />

δΦ( 0)<br />

δΦ(<br />

t)<br />

≡<br />

2<br />

δΦ<br />

[4.3.25]<br />

C(t) is the time correlation function <strong>of</strong> equilibrium fluctuations <strong>of</strong> the solvent response potential<br />

at the position <strong>of</strong> the solute ion. The electrostatic potential in C(t) will be replaced by<br />

the electric field or by higher gradients <strong>of</strong> the electrostatic potential when solvation <strong>of</strong><br />

higher moments <strong>of</strong> the charge distribution is considered.<br />

The time dependent solvation function S(t) is a directly observed quantity as well as a<br />

convenient tool for numerical simulation studies. The corresponding linear response approximation<br />

C(t) is also easily computed from numerical simulations, and can also be studied<br />

using suitable theoretical models. Computer simulations are very valuable both in<br />

exploring the validity <strong>of</strong> such theoretical calculations, as well as the validity <strong>of</strong> linear response<br />

theory itself (by comparing S(t) to C(t)). Furthermore they can be used for direct visualization<br />

<strong>of</strong> the solute and solvent motions that dominate the solvation process. Many<br />

such simulations were published in the past decade, using different models for solvents such<br />

as water, alcohols and acetonitrile. Two remarkable outcomes <strong>of</strong> these studies are first, the<br />

close qualitative similarity between the time evolution <strong>of</strong> solvation in different simple solvents,<br />

and second, the marked deviation from the simple exponential relaxation predicted<br />

by the Debye relaxation model (cf. Eq. [4.3.18]). At least two distinct relaxation modes are

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