Monomer Distributions and Intrachain Collisions of a Polymer Confined to a Channel
(2013) In Macromolecules 46(16). p.6644-6650- Abstract
- We study the conformations of a self-avoiding polymer confined to a channel by computing the cross-sectional distributions of the positions of its monomers. By means of Monte Carlo simulations for a self-avoiding, freely jointed chain, we determine how the cross-sectional distribution for a given monomer depends on its location in the polymer and how strongly this distribution is affected by self-avoidance. To this end we analyze how the frequency of intrachain collisions between monomers depends on their spatial position in the channel and on their location within the polymer. We show that most collisions occur between closely neighboring monomers. As a consequence, the collision probability depends only weakly on the spatial position of... (More)
- We study the conformations of a self-avoiding polymer confined to a channel by computing the cross-sectional distributions of the positions of its monomers. By means of Monte Carlo simulations for a self-avoiding, freely jointed chain, we determine how the cross-sectional distribution for a given monomer depends on its location in the polymer and how strongly this distribution is affected by self-avoidance. To this end we analyze how the frequency of intrachain collisions between monomers depends on their spatial position in the channel and on their location within the polymer. We show that most collisions occur between closely neighboring monomers. As a consequence, the collision probability depends only weakly on the spatial position of the monomers. Our results explain why the effect of self-avoidance on the monomer distributions is weaker than predicted by mean-field theory. We discuss the relevance of our results for studies of DNA conformations in nanofluidic channels. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4062436
- author
- Werner, E. ; Westerlund, F. ; Tegenfeldt, Jonas LU and Mehlig, B.
- organization
- publishing date
- 2013
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Macromolecules
- volume
- 46
- issue
- 16
- pages
- 6644 - 6650
- publisher
- The American Chemical Society (ACS)
- external identifiers
-
- wos:000323811100029
- scopus:84883235752
- ISSN
- 0024-9297
- DOI
- 10.1021/ma400464c
- language
- English
- LU publication?
- yes
- id
- f21ef02d-94dd-4c43-982c-dbb1f2d84b30 (old id 4062436)
- date added to LUP
- 2016-04-01 10:50:30
- date last changed
- 2023-08-31 12:39:55
@article{f21ef02d-94dd-4c43-982c-dbb1f2d84b30, abstract = {{We study the conformations of a self-avoiding polymer confined to a channel by computing the cross-sectional distributions of the positions of its monomers. By means of Monte Carlo simulations for a self-avoiding, freely jointed chain, we determine how the cross-sectional distribution for a given monomer depends on its location in the polymer and how strongly this distribution is affected by self-avoidance. To this end we analyze how the frequency of intrachain collisions between monomers depends on their spatial position in the channel and on their location within the polymer. We show that most collisions occur between closely neighboring monomers. As a consequence, the collision probability depends only weakly on the spatial position of the monomers. Our results explain why the effect of self-avoidance on the monomer distributions is weaker than predicted by mean-field theory. We discuss the relevance of our results for studies of DNA conformations in nanofluidic channels.}}, author = {{Werner, E. and Westerlund, F. and Tegenfeldt, Jonas and Mehlig, B.}}, issn = {{0024-9297}}, language = {{eng}}, number = {{16}}, pages = {{6644--6650}}, publisher = {{The American Chemical Society (ACS)}}, series = {{Macromolecules}}, title = {{Monomer Distributions and Intrachain Collisions of a Polymer Confined to a Channel}}, url = {{http://dx.doi.org/10.1021/ma400464c}}, doi = {{10.1021/ma400464c}}, volume = {{46}}, year = {{2013}}, }