Optimal conditions for magnetization reversal of nanocluster assemblies with random properties
P. V. Kharebov, V. K. Henner, and V. I. Yukalov

TL;DR
This study uses computer simulations to identify optimal conditions for coherent and rapid magnetization reversal in nanocluster assemblies with random properties, considering the effects of anisotropy, spins, and dipole interactions.
Contribution
It demonstrates that despite randomness in nanocluster properties, coherent magnetization reversal can be achieved by tuning specific parameters, aided by resonator feedback.
Findings
Optimal cluster parameters for fast reversal identified
Coherent reversal occurs despite property randomness
Resonator feedback enhances reversal speed
Abstract
Magnetization dynamics in the system of magnetic nanoclusters with randomly distributed properties are studied by means of computer simulations. The main attention is paid to the possibility of coherent magnetization reversal from a strongly nonequilibrium state with a mean cluster magnetization directed opposite to an external magnetic field. Magnetic nanoclusters are known to be characterized by large magnetic anisotropy and strong dipole interactions. It is also impossible to produce a number of nanoclusters with identical properties. As a result, any realistic system of nanoclusters is composed of the clusters with randomly varying anisotropies, effective spins, and dipole interactions. Despite this randomness, it is possible to find conditions when the cluster spins move coherently and display fast magnetization reversal due to the feedback action of resonator. By analyzing the…
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