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Title: One-component order parameter in URu2Si2 uncovered by resonant ultrasound spectroscopy and machine learning

Abstract

The unusual correlated state that emerges in URu2Si2 below THO = 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 THO. 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.

Authors:
ORCiD logo [1];  [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [2];  [5]; ORCiD logo [1]; ORCiD logo [1]
  1. Cornell Univ., Ithaca, NY (United States). Lab. of Atomic and Solid State Physics
  2. Florida State Univ., Tallahassee, FL (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Max Planck Inst. for Chemical Physics of Solids, Dresden (Germany)
  5. Leiden Univ. (Netherlands)
Publication Date:
Research Org.:
Cornell Univ., Ithaca, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division; National Science Foundation (NSF)
OSTI Identifier:
1626059
Alternate Identifier(s):
OSTI ID: 1733304
Grant/Contract Number:  
SC0018946; DMR-1719875; DMR-1539918; DMR-1752784
Resource Type:
Accepted Manuscript
Journal Name:
Science Advances
Additional Journal Information:
Journal Volume: 6; Journal Issue: 10; Journal ID: ISSN 2375-2548
Publisher:
AAAS
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; Science & Technology - Other Topics

Citation Formats

Ghosh, Sayak, Matty, Michael, Baumbach, Ryan, Bauer, Eric D., Modic, K. A., Shekhter, Arkady, Mydosh, J. A., Kim, Eun-Ah, and Ramshaw, B. J. One-component order parameter in URu2Si2 uncovered by resonant ultrasound spectroscopy and machine learning. United States: N. p., 2020. Web. doi:10.1126/sciadv.aaz4074.
Ghosh, Sayak, Matty, Michael, Baumbach, Ryan, Bauer, Eric D., Modic, K. A., Shekhter, Arkady, Mydosh, J. A., Kim, Eun-Ah, & Ramshaw, B. J. One-component order parameter in URu2Si2 uncovered by resonant ultrasound spectroscopy and machine learning. United States. https://doi.org/10.1126/sciadv.aaz4074
Ghosh, Sayak, Matty, Michael, Baumbach, Ryan, Bauer, Eric D., Modic, K. A., Shekhter, Arkady, Mydosh, J. A., Kim, Eun-Ah, and Ramshaw, B. J. Fri . "One-component order parameter in URu2Si2 uncovered by resonant ultrasound spectroscopy and machine learning". United States. https://doi.org/10.1126/sciadv.aaz4074. https://www.osti.gov/servlets/purl/1626059.
@article{osti_1626059,
title = {One-component order parameter in URu2Si2 uncovered by resonant ultrasound spectroscopy and machine learning},
author = {Ghosh, Sayak and Matty, Michael and Baumbach, Ryan and Bauer, Eric D. and Modic, K. A. and Shekhter, Arkady and Mydosh, J. A. and Kim, Eun-Ah and Ramshaw, B. J.},
abstractNote = {The unusual correlated state that emerges in URu2Si2 below THO = 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 THO. 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.},
doi = {10.1126/sciadv.aaz4074},
journal = {Science Advances},
number = 10,
volume = 6,
place = {United States},
year = {2020},
month = {3}
}

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Cited by: 19 works
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Figures / Tables:

Table 1 Table 1: Proposed OPs of the HO state in URu2Si2, classified by their dimensionality and their point group representation. Note that designations such as “hexadecapole” order are only applicable in free space—crystalline electric fields break these large multipoles into the representations listed in this table.

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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.