Magnetic properties of nanoparticles in the Bethe-Peierls approximation

Physics – Condensed Matter – Mesoscale and Nanoscale Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

12 pages, 6 figures; revised version, to appear in Phys. Rev. B

Scientific paper

10.1103/PhysRevB.64.144424

In this work we present a new method to calculate the classical properties of magnetic nanoparticles. Based on the Bethe-Peierls (pair) approximation, we developed a simple system of equations for the classical magnetization of spins at any position within the nanoparticle. The nearest neightbor pair correlations are treated exactly for Ising spins, and the method can be generalized for various lattice symmetries. The master equation is solved for the Glauber dynamics (single-spin-flip) in order to obtain the time evolution of the magnetization. The capabilities of the model are demonstrated through the calculation of hysteresis loops as well as field cooling (FC) and zero field cooling (ZFC) magnetization curves of heterogeneous nanoparticles. The present method can be an alternative to the usually complex and time consuming methods employed in micromagnetism.

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

Magnetic properties of nanoparticles in the Bethe-Peierls approximation 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 Magnetic properties of nanoparticles in the Bethe-Peierls approximation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Magnetic properties of nanoparticles in the Bethe-Peierls approximation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-249927

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