.png){kind=icon}
Return
Time-quantified Monte Carlo algorithm for interacting spin array micromagnetic dynamics
.png){kind=icon}
OA
AI
DOI：10.1103/PhysRevB.73.224438.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this paper, we reexamine the validity of using time-quantified Monte Carlo (TQMC) method [Phys. Rev. Lett. 84, 163 (2000); 96, 067208 (2006)] in simulating the stochastic dynamics of interacting magnetic nanoparticles. The Fokker-Planck coefficients corresponding to both TQMC and the Langevin dynamical equation (Landau-Lifshitz-Gilbert, LLG) are derived and compared in the presence of interparticle interactions. The time quantification factor is obtained and justified. Numerical verification is shown by using TQMC and Langevin methods in analyzing spin-wave dispersion in a linear array of magnetic nanoparticles.
Keywords:
RELAXATION
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.7
Papers:
15.4W
Citations:
41.0W
Organization
No organization information available
Cited Papers
The “ART” of Linkage: Pre-Treatment Loss to Care after HIV Diagnosis at Two PEPFAR Sites in Durban, South Africa.png)
PLoS ONEOAAI
PLoS ONEIF0
OAAIShareSave
ShareSaveShareSaveShareSaveShareSaveMonte Carlo technique with a quantified time step: Application to the motion of magnetic momentsPHYSICAL REVIEW BOAAI
PHYSICAL REVIEW BIF3.7
OAAIShareSaveShareSaveHigh Frequency of One Element of Segregation Distorter in Natural Populations of Drosophila melanogasterEvolutionOAAI
EvolutionIF0
OAAIShareSaveShareSave
View more