To analyze the effect of nano-confinement on the self-diffusion coefficient, a
dynamical model was proposed (Tankeshwar and Srivastava 2007) wherein the
effect of confinement on molecular motion was analysed. The model was built up
on the model of a microscopic (local) self-diffusion coefficient varying as a function
of distance taken from the walls of the channel.
16.6.1 Model for Many-Body Liquid Problem
The configuration space of a many-body fluid system could be thought of as being
divided into a number of cells where each cell may be described by a fixed
configuration corresponding to the local minima on the potential energy hyper-
surface of the system. Inside the cell, motion of the liquid configuration is harmonic
around a local minima characterized by a well-defined frequency or band of
frequencies. The system could jump from one cell to other with a specific jump
frequency τ1. Use has been made of basic definitions and expressions of diffusion
and velocity autocorrelation functions which can be expressed as follows:
D ¼ kBT
m
Z 1
0
V tð Þdt and V tð Þ ¼ 1
3
X
i, α
viα tð Þviα 0
ð Þ
h
i
ð16:7Þ
where viα(t) is the αth component of velocity for a ith particle at time t and such that
hviα(0)i2 ¼ 3 kBT/m. Calculation of the velocity autocorrelation function (VACF)
for any real system is probable only through a simplified picture within the frame-
work of many-body theory.
16.6.2 Various Cases of Microscopic Model
1. Effect of Confinement: Solution is taken in the form of harmonic oscillator in
nonconfined state with motion along z-axis characterized by amplitude A and
frequency ω expressed as z(t) ¼ A sin (ωt). When width of the channel is of the
order of nano-/microscale, particles would inevitably experience a compression-
like situation which would eventually decrease its amplitude by d (as shown in
Fig. 16.9) and also change its frequency to Ω which becomes a function of z
z t1
ð Þ ¼ A d ¼ A sin ωt1
ð
Þ
ð16:8Þ
where t1 ¼ 1
ω sin 1 1 d=A
ð
Þ, leading to a new frequency of motion
Ω ¼ π
2t1 ¼
πω
2 sin 1 1 d=A
ð
Þ
ð16:9Þ
whose corresponding curve is depicted in Fig. 16.10. Expressing ratio d/A as a
function of z, i.e.
288
K. Tankeshwar and S. Srivastava