Dynamical Signatures of Edge-State Magnetism on Graphene Nanoribbons

Physics – Condensed Matter – Mesoscale and Nanoscale Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4+ pages including 4 figures

Scientific paper

10.1103/PhysRevLett.106.226401

We investigate the edge-state magnetism of graphene nanoribbons using projective quantum Monte Carlo simulations and a self-consistent mean-field approximation of the Hubbard model. The static magnetic correlations are found to be short ranged. Nevertheless, the correlation length increases with the width of the ribbon such that already for ribbons of moderate widths we observe a strong trend towards mean-field-type ferromagnetic correlations at a zigzag edge. These correlations are accompanied by a dominant low-energy peak in the local spectral function and we propose that this can be used to detect edge-state magnetism by scanning tunneling microscopy. The dynamic spin structure factor at the edge of a ribbon exhibits an approximately linearly dispersing collective magnonlike mode at low energies that decays into Stoner modes beyond the energy scale where it merges into the particle-hole continuum.

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

Dynamical Signatures of Edge-State Magnetism on Graphene Nanoribbons 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 Dynamical Signatures of Edge-State Magnetism on Graphene Nanoribbons, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Dynamical Signatures of Edge-State Magnetism on Graphene Nanoribbons will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-456952

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