Dynamics of artificial spin ice: continuous honeycomb network

Physics – Condensed Matter – Mesoscale and Nanoscale Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19 pages, focus issue of New J. Phys. on artificial frustrated systems, minor clarifications requested by referee

Scientific paper

10.1088/1367-2630/14/3/035022

We model the dynamics of magnetization in an artificial analog of spin ice specializing to the case of a honeycomb network of connected magnetic nanowires. The inherently dissipative dynamics is mediated by the emission, propagation and absorption of domain walls in the links of the lattice. These domain walls carry two natural units of magnetic charge, whereas sites of the lattice contain a unit magnetic charge. Magnetostatic Coulomb forces between these charges play a major role in the physics of the system, as does quenched disorder caused by imperfections of the lattice. We identify and describe different regimes of magnetization reversal in an applied magnetic field determined by the orientation of the applied field with respect to the initial magnetization. One of the regimes is characterized by magnetic avalanches with a 1/n distribution of lengths.

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

Dynamics of artificial spin ice: continuous honeycomb network 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 Dynamics of artificial spin ice: continuous honeycomb network, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Dynamics of artificial spin ice: continuous honeycomb network will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-548696

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