Molecular self-organization: Predicting the pattern diversity and lowest energy state of competing ordering motifs

Physics – Condensed Matter – Mesoscale and Nanoscale Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

6 pages, 7 figures

Scientific paper

10.1103/PhysRevB.82.165451

Self-organized monolayers of highly flexible \Frechet dendrons were deposited on graphite surfaces by solution casting. Scanning tunneling microscopy (STM) reveals an unprecedented variety of patterns with up to seven stable hierarchical ordering motifs serving as a versatile model system. The essential molecular properties determined by molecular mechanics simulations are condensed to a coarse grained interaction site model of various chain configurations. In a Monte Carlo approach with random starting configurations the experimental pattern diversity can be reproduced in all facets of the local and global ordering. Based on an energy analysis of the Monte Carlo and molecular mechanics modeling the thermodynamically most stable pattern is predicted coinciding with the pattern, which dominates in the STM images after several hours or upon moderate heating.

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

Molecular self-organization: Predicting the pattern diversity and lowest energy state of competing ordering motifs 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 Molecular self-organization: Predicting the pattern diversity and lowest energy state of competing ordering motifs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Molecular self-organization: Predicting the pattern diversity and lowest energy state of competing ordering motifs will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-417562

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