Micromagnetic simulations of the size dependence of the Curie temperature in ferromagnetic nanowires and nanolayers
Cl\'ementine Court\`es, Matthieu Boileau, Rapha\"el C\^ote,, Paul-Antoine Hervieux, Giovanni Manfredi

TL;DR
This paper uses micromagnetic simulations solving the Landau-Lifshitz-Gilbert equation at finite temperature to study how the Curie temperature of ferromagnetic nanostructures depends on their size, revealing a power-law relationship consistent with mean-field theory.
Contribution
The study introduces a temperature rescaling method in micromagnetic simulations that accurately predicts size-dependent Curie temperatures aligning with experimental data.
Findings
Curie temperature decreases with system size following a power-law.
Correlation length at zero temperature is in the nanometer range.
Critical exponent is approximately 2, consistent with mean-field theory.
Abstract
We solve the Landau-Lifshitz-Gilbert equation in the finite-temperature regime, where thermal fluctuations are modeled by a random magnetic field whose variance is proportional to the temperature. By rescaling the temperature proportionally to the computational cell size (, where is the lattice constant) [M. B. Hahn, J. Phys. Comm., 3:075009, 2019], we obtain Curie temperatures that are in line with the experimental values for cobalt, iron and nickel. For finite-sized objects such as nanowires (1D) and nanolayers (2D), the Curie temperature varies with the smallest size of the system. We show that the difference between the computed finite-size and the bulk follows a power-law of the type: , where is the correlation length at zero temperature, and…
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Taxonomy
TopicsMagnetic properties of thin films · nanoparticles nucleation surface interactions · Machine Learning in Materials Science
