Hard Simulation Problems in the Modeling of Magnetic Materials: Parallelization and Langevin Micromagnetics

Physics – Condensed Matter – Materials Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

To appear in Computer Simulation Studies in Condensed Matter Physics XI (Eds. D.P. Landau and H.-B. Schuttler), Springer-Verla

Scientific paper

We present recent results on two attempts at understanding and utilizing large-scale simulations of magnetic materials. In the first study we consider massively parallel implementations on a Cray T3E of the n-fold way algorithm for magnetization switching in kinetic Ising models. We find an intricate relationship between the average time increment and the size of the spin blocks on each processor. This narrows the regime of efficient implementation. The second study concerns incorporating noise into micromagnetic calculations using Langevin methods. This allows measurement of quantities such as the probability that the system has not switched within a given time. Preliminary results are reported for arrays of single-domain nanoscale pillars.

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

Hard Simulation Problems in the Modeling of Magnetic Materials: Parallelization and Langevin Micromagnetics 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 Hard Simulation Problems in the Modeling of Magnetic Materials: Parallelization and Langevin Micromagnetics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Hard Simulation Problems in the Modeling of Magnetic Materials: Parallelization and Langevin Micromagnetics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-403613

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