Scaling of Memories and Crossover in Glassy Magnets

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 syste...

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Published inScientific reports Vol. 7; no. 1; pp. 12053 - 8
Main Authors Samarakoon, A. M., Takahashi, M., Zhang, D., Yang, J., Katayama, N., Sinclair, R., Zhou, H. D., Diallo, S. O., Ehlers, G., Tennant, D. A., Wakimoto, S., Yamada, K., Chern, G-W., Sato, T. J., Lee, S.-H.
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LanguageEnglish
Published London Nature Publishing Group UK 21.09.2017
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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 systematic study on dilute magnetic alloys with varying magnetic concentration exhibits crossovers among the two glassy states and spin solid.
AbstractList 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 \[1-n\approx 0.6(1)\]. This exponent is different from \[1-{\boldsymbol{n}}\approx 1/3\] of dilute magnetic alloys that was ascribed to their hierarchical and fractal energy landscape, and is also different from \[1-{\boldsymbol{n}}=1\] of the conventional Debye relaxation expected for a spin solid, a state with long range order. Furthermore, our systematic study on dilute magnetic alloys with varying magnetic concentration exhibits crossovers among the two glassy states and spin solid.
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 [Formula: see text]. This exponent is different from [Formula: see text] of dilute magnetic alloys that was ascribed to their hierarchical and fractal energy landscape, and is also different from [Formula: see text] of the conventional Debye relaxation expected for a spin solid, a state with long range order. Furthermore, our systematic study on dilute magnetic alloys with varying magnetic concentration exhibits crossovers among the two glassy states and spin solid.
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 systematic study on dilute magnetic alloys with varying magnetic concentration exhibits crossovers among the two glassy states and spin solid.
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 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1-n\approx 0.6(1)$$\end{document} 1 − n ≈ 0.6 ( 1 ) . This exponent is different from \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1-{\boldsymbol{n}}\approx 1/3$$\end{document} 1 − n ≈ 1 / 3 of dilute magnetic alloys that was ascribed to their hierarchical and fractal energy landscape, and is also different from \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1-{\boldsymbol{n}}=1$$\end{document} 1 − n = 1 of the conventional Debye relaxation expected for a spin solid, a state with long range order. Furthermore, our systematic study on dilute magnetic alloys with varying magnetic concentration exhibits crossovers among the two 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 $$1-n\approx 0.6(1)$$ 1 − n ≈ 0.6 ( 1 ) . This exponent is different from $$1-{\boldsymbol{n}}\approx 1/3$$ 1 − n ≈ 1 / 3 of dilute magnetic alloys that was ascribed to their hierarchical and fractal energy landscape, and is also different from $$1-{\boldsymbol{n}}=1$$ 1 − n = 1 of the conventional Debye relaxation expected for a spin solid, a state with long range order. Furthermore, our systematic study on dilute magnetic alloys with varying magnetic concentration exhibits crossovers among the two glassy states and spin solid.
ArticleNumber 12053
Author Lee, S.-H.
Yang, J.
Samarakoon, A. M.
Ehlers, G.
Katayama, N.
Sato, T. J.
Tennant, D. A.
Zhang, D.
Chern, G-W.
Yamada, K.
Takahashi, M.
Wakimoto, S.
Sinclair, R.
Zhou, H. D.
Diallo, S. O.
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/28935973$$D View this record in MEDLINE/PubMed
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Snippet Glassiness is ubiquitous and diverse in characteristics in nature. Understanding their differences and classification remains a major scientific challenge....
Abstract Glassiness is ubiquitous and diverse in characteristics in nature. Understanding their differences and classification remains a major scientific...
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proquest
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Aggregation Database
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StartPage 12053
SubjectTerms 639/301
639/766
Alloys
High temperature
High temperature superconductors
Humanities and Social Sciences
Magnetism
multidisciplinary
Population density
Scaling
Science
Science (multidisciplinary)
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Title Scaling of Memories and Crossover in Glassy Magnets
URI https://link.springer.com/article/10.1038/s41598-017-12187-9
https://www.ncbi.nlm.nih.gov/pubmed/28935973
https://www.proquest.com/docview/1955034484
https://search.proquest.com/docview/1942675850
https://pubmed.ncbi.nlm.nih.gov/PMC5608711
Volume 7
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