Self-Adaptive Acceptance Rate-Driven Markov Chain Monte Carlo Method Applied to the Study of Magnetic Nanoparticles
A standard canonical Markov Chain Monte Carlo method implemented with a single-macrospin movement Metropolis dynamics was conducted to study the hysteretic properties of an ensemble of independent and non-interacting magnetic nanoparticles with uniaxial magneto-crystalline anisotropy randomly distri...
Main Authors: | Juan Camilo Zapata, Johans Restrepo |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-11-01
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Series: | Computation |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-3197/9/11/124 |
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