Scaling of Memories and Crossover in Glassy Magnets
A. M. Samarakoon, M. Takahashi, D. Zhang, J. Yang, N. Katayama, R., Sinclair, H. D. Zhou, S. O. Diallo, G. Ehlers, D. A. Tennant, S. Wakimoto, K., Yamada, G-W. Chern, T. J. Sato, S.-H. Lee

TL;DR
This paper classifies magnetic glassy materials based on how their magnetic memories scale with time, revealing two distinct classes and crossover behaviors among different states.
Contribution
It introduces a novel classification scheme for magnetic glassy materials using memory scaling and identifies crossover phenomena among glassy states.
Findings
Most dense magnets show a relaxation exponent of ~0.6.
Dilute magnetic alloys have a relaxation exponent of ~1/3.
Systematic study reveals crossovers among glassy states and spin solid.
Abstract
Glassiness is ubiquitous and diverse in characteristics in nature. Understanding their differences and classification remains a major scientific challenge. Here, we show that scaling of magnetic memories with time can be used to classify magnetic glassy materials into two distinct classes. The systems studied are high-temperature superconductor-related materials, spin-orbit Mott insulators, frustrated magnets, and dilute magnetic alloys. Our bulk magnetization measurements reveal that most densely populated magnets exhibit similar memory behavior characterized by a relaxation exponent of 1-n ~ 0.6(1). This exponent is different from 1-n ~ 1/3 of dilute magnetic alloys that was ascribed to their hierarchical and fractal energy landscape and is also different from 1-n=1 of the conventional Debye relaxation expected for a spin solid, a state with long range order. Furthermore, our…
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Taxonomy
TopicsTheoretical and Computational Physics · Advanced Condensed Matter Physics · Complex Systems and Time Series Analysis
