Attractive forces between anisotropic inclusions in the membrane of a vesicle

Physics – Condensed Matter – Soft Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages, 5 eps + 3 latex figures. REVTeX. Submitted to Eur. Phys. J. B

Scientific paper

10.1007/s100510051023

The fluctuation-induced interaction between two rod-like, rigid inclusions in a fluid vesicle is studied by means of canonical ensemble Monte Carlo simulations. The vesicle membrane is represented by a triangulated network of hard spheres. Five rigidly connected hard spheres form rod-like inclusions that can leap between sites of the triangular network. Their effective interaction potential is computed as a function of mutual distance and angle of the inclusions. On account of the hard-core potential among these, the nature of the potential is purely entropic. Special precaution is taken to reduce lattice artifacts and the influence of finite-size effects due to the spherical geometry. Our results show that the effective potential is attractive and short-range compared with the rod length L. Its well depth is of the order of \kappa/10, where \kappa is the bending modulus.

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

Attractive forces between anisotropic inclusions in the membrane of a vesicle 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 Attractive forces between anisotropic inclusions in the membrane of a vesicle, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Attractive forces between anisotropic inclusions in the membrane of a vesicle will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-232038

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