Polymers in Confined Geometry.pdf
Polymers in Confined Geometry.pdf
Polymers in Confined Geometry.pdf
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66 CHAPTER 5. SIMULATION RESULTS<br />
R 2 <br />
1<br />
0.8<br />
0.6<br />
0.4<br />
0.2<br />
0<br />
0.1<br />
1<br />
10<br />
c/ɛ<br />
100<br />
ɛ = 0.1<br />
ɛ = 0.5<br />
ɛ = 1<br />
ɛ = 5<br />
ɛ = 10<br />
ɛ = 50<br />
ɛ = 300<br />
Figure 5.6: Scal<strong>in</strong>g plot for the mean-square end-to-end distance R 2 versus the scal<strong>in</strong>g<br />
parameter c/ɛ for various flexibilities ɛ from the stiff to the flexible polymer limit.<br />
square end-to-end distance 〈R 2 〉 as function of the scal<strong>in</strong>g parameter c/ɛ is shown<br />
for the whole range of flexibilities ɛ, from the stiff up to the flexible limit. It can<br />
be seen that a universal behavior is visible to start around c/ɛ 5. Tak<strong>in</strong>g a<br />
lower envelope of the data reveals the expected scal<strong>in</strong>g.<br />
The deviations from a lower envelope <strong>in</strong> this range can be expla<strong>in</strong>ed by f<strong>in</strong>itesize<br />
effects of the simulated cha<strong>in</strong>s. Already for ɛ ≈ 5 differences from the analytic<br />
result eq. (3.38) can be observed. This is explicitly shown <strong>in</strong> figure 5.7 for the<br />
mean-square end-to-end distance 〈R 2 〉 versus the scal<strong>in</strong>g parameter c/ɛ for a<br />
flexibility ɛ = 5. The simulation data is obta<strong>in</strong>ed by <strong>in</strong>creas<strong>in</strong>g the number N of<br />
the segments up to 1000. S<strong>in</strong>ce a simulation for cha<strong>in</strong>s of length N = 1000 takes<br />
<strong>in</strong> the order of a week per data po<strong>in</strong>t, only s<strong>in</strong>gle po<strong>in</strong>ts have been simulated.<br />
The <strong>in</strong>set gives a zoomed view of the area where the major effect of f<strong>in</strong>ite-size is<br />
seen. The data obta<strong>in</strong>ed for N = 1000 is seen to fit the analytic result perfectly.<br />
The data converges, <strong>in</strong> this range, for decreas<strong>in</strong>g segments size to the analytic<br />
result.<br />
These f<strong>in</strong>ite-size deviations <strong>in</strong>crease for more flexible cha<strong>in</strong>s: The condition<br />
that the segment length l = 1/N should be at least about the size of the persistence<br />
length or smaller—otherwise the persistence length is artificially <strong>in</strong>creased<br />
due to f<strong>in</strong>ite-size effects—forces us to use more segments for flexible cha<strong>in</strong>s.<br />
Therefore deviations due to f<strong>in</strong>ite-size are <strong>in</strong>creas<strong>in</strong>g even more. But us<strong>in</strong>g much<br />
more segments than N = 1000 is problematic due to the simulation time needed.<br />
The form of the mean-square end-to-end distance for very flexible cha<strong>in</strong> is<br />
given by the limit of the ideal cha<strong>in</strong> without persistence, the freely jo<strong>in</strong>ted cha<strong>in</strong><br />
(FJC). For c/ɛ 1 the function stays effective constant and for c/ɛ 1 the<br />
function behaves like the approximation for strong conf<strong>in</strong>ement eq. (3.9), only<br />
1000