Sensory Organ like Response of Zigzag Edge Graphene Nanoribbons

Physics – Condensed Matter – Mesoscale and Nanoscale Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

11 pages, 9 figures

Scientific paper

10.1103/PhysRevB.82.155448

Using a continuum Dirac theory, we study the density and spin response of zigzag edge terminated graphene ribbons subjected to edge potentials and Zeeman fields. Our analytical calculations of the density and spin responses of the closed system (fixed particle number) to the static edge fields, show a highly nonlinear Weber-Fechner type behavior where the response depends logarithmically on the edge potential. The dependence of the response on the size of the system (e.g. width of a nanoribbon) is also uncovered. Zigzag edge graphene nanoribbons, therefore, provide a realization of response of organs such as the eye and ear that obey Weber-Fechner law. We validate our analytical results with tight binding calculations. These results are crucial in understanding important effects of electron-electron interactions in graphene nanoribbons such as edge magnetism etc., and also suggest possibilities for device applications of graphene nanoribbons.

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

Sensory Organ like Response of Zigzag Edge 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 Sensory Organ like Response of Zigzag Edge Graphene Nanoribbons, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Sensory Organ like Response of Zigzag Edge Graphene Nanoribbons will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-657025

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