One-component order parameter in URu 2 Si 2 uncovered by resonant ultrasound spectroscopy and machine learning.

التفاصيل البيبلوغرافية
العنوان:	One-component order parameter in URu 2 Si 2 uncovered by resonant ultrasound spectroscopy and machine learning.
المؤلفون:	Ghosh S; Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, NY 14853, USA., Matty M; Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, NY 14853, USA., Baumbach R; National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL 32310, USA., Bauer ED; Los Alamos National Laboratory, Los Alamos, NM 87545, USA., Modic KA; Max Planck Institute for Chemical Physics of Solids, Dresden 01187, Germany., Shekhter A; National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL 32310, USA., Mydosh JA; Kamerlingh Onnes Laboratory and Institute Lorentz, Leiden University, 2300RA Leiden, Netherlands., Kim EA; Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, NY 14853, USA., Ramshaw BJ; Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, NY 14853, USA.
المصدر:	Science advances [Sci Adv] 2020 Mar 06; Vol. 6 (10), pp. eaaz4074. Date of Electronic Publication: 2020 Mar 06 (Print Publication: 2020).
نوع المنشور:	Journal Article
اللغة:	English
بيانات الدورية:	Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: eCollection Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: PubMed not MEDLINE; MEDLINE
أسماء مطبوعة:	Original Publication: Washington, DC : American Association for the Advancement of Science, [2015]-
مستخلص:	The unusual correlated state that emerges in URu 2 Si 2 below T HO = 17.5 K is known as "hidden order" because even basic characteristics of the order parameter, such as its dimensionality (whether it has one component or two), are "hidden." We use resonant ultrasound spectroscopy to measure the symmetry-resolved elastic anomalies across T HO . We observe no anomalies in the shear elastic moduli, providing strong thermodynamic evidence for a one-component order parameter. We develop a machine learning framework that reaches this conclusion directly from the raw data, even in a crystal that is too small for traditional resonant ultrasound. Our result rules out a broad class of theories of hidden order based on two-component order parameters, and constrains the nature of the fluctuations from which unconventional superconductivity emerges at lower temperature. Our machine learning framework is a powerful new tool for classifying the ubiquitous competing orders in correlated electron systems. (Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).)
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تواريخ الأحداث:	Date Created: 20200318 Latest Revision: 20240328
رمز التحديث:	20240329
مُعرف محوري في PubMed:	PMC7060057
DOI:	10.1126/sciadv.aaz4074
PMID:	32181367
قاعدة البيانات:	MEDLINE

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تدمد:	2375-2548
DOI:	10.1126/sciadv.aaz4074