Calculation of the persistence length of a flexible polymer chain with short range self-repulsion

Physics – Condensed Matter – Soft Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

28 pages, 8 figures, changed content

Scientific paper

10.1140/epje/i2003-10071-1

For a self-repelling polymer chain consisting of n segments we calculate the persistence length L(j,n), defined as the projection of the end-to-end vector on the direction of the j`th segment. This quantity shows some pronounced variation along the chain. Using the renormalization group and epsilon-expansion we establish the scaling form and calculate the scaling function to order epsilon^2. Asymptotically the simple result L(j,n) ~ const(j(n-j)/n)^(2nu-1) emerges for dimension d=3. Also outside the excluded volume limit L(j,n) is found to behave very similar to the swelling factor of a chain of length j(n-j)/n. We carry through simulations which are found to be in good accord with our analytical results. For d=2 both our and previous simulations as well as theoretical arguments suggest the existence of logarithmic anomalies.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Calculation of the persistence length of a flexible polymer chain with short range self-repulsion does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Calculation of the persistence length of a flexible polymer chain with short range self-repulsion, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Calculation of the persistence length of a flexible polymer chain with short range self-repulsion will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-381758

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.