Memory and aging effects in interacting sub-10nm nanomagnets with large uniaxial anisotropy
Kai-Cheng Zhang, Bang-Gui Liu

TL;DR
This study uses a specialized Monte Carlo method to explore how interacting nanomagnets with large uniaxial anisotropy exhibit memory and aging effects, linking these phenomena to their diverse relaxation times.
Contribution
It introduces a nonequilibrium Monte Carlo approach tailored for nanomagnetism to analyze memory and aging in sub-10nm nanomagnets with large anisotropy.
Findings
Memory effects observed in nanomagnet systems
Aging phenomena linked to relaxation time distribution
Large anisotropy energies cause diverse relaxation behaviors
Abstract
Using a nonequilibrium Monte Carlo method suitable to nanomagnetism, we investigate representative systems of interacting sub-10nm grained nanomagnets with large uniaxial anisotropy. Various magnetization memory and aging effects are found in such systems. We explain these dynamical effects using the distributed relaxation times of the interacting nanomagnets due to their large anisotropy energies.
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