English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

The electrostatic persistence length of polymers beyond the OSF limit

MPS-Authors
/persons/resource/persons47850

Everaers,  R.
MPI for Polymer Research, Max Planck Society;

/persons/resource/persons48431

Milchev,  A.
MPI for Polymer Research, Max Planck Society;

/persons/resource/persons49031

Yamakov,  V.
MPI for Polymer Research, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Everaers, R., Milchev, A., & Yamakov, V. (2002). The electrostatic persistence length of polymers beyond the OSF limit. European Physical Journal E, 8(1), 3-14.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-660F-9
Abstract
We use large-scale Monte Carlo simulations to test scaling theories for the electrostatic persistence length l(e) of isolated, uniformly charged polymers with Debye-Huckel intrachain interactions in the limit where the screening length k(-1) exceeds the intrinsic persistence length of the chains. Our simulations cover a significantly larger part of the parameter space than previous studies. We observe no significant deviations from the prediction l(e) proportional to k(-2) by Khokhlov and Khachaturian which is based on applying the Odijk-Skolnick-Fixman theories of electrostatic bending rigidity and electrostatically excluded volume to the stretched de Gennes-Pincus-Velasco-Brochard polyelectrolyte blob chain. A linear or sublinear dependence of the persistence length on the screening length can be ruled out. We show that previous results pointing into this direction are due to a combination of excluded-volume and finite chain length effects. The paper emphasizes the role of scaling arguments in the development of useful representations for experimental and simulation data.