• Open Access

Hidden self-energies as origin of cuprate superconductivity revealed by machine learning

Youhei Yamaji, Teppei Yoshida, Atsushi Fujimori, and Masatoshi Imada
Phys. Rev. Research 3, 043099 – Published 8 November 2021; Erratum Phys. Rev. Research 5, 019003 (2023)

Abstract

Experimental data are the source of understanding matter. However, measurable quantities are limited and theoretically important quantities are sometimes hidden. Nonetheless, recent progress of machine-learning techniques opens possibilities of exposing them only from available experimental data. In this paper, after establishing the reliability of the method in various careful benchmark tests, the Boltzmann machine method is applied to the angle-resolved photoemission spectroscopy spectra of cuprate high-temperature superconductors, Bi2Sr2CuO6+δ (Bi2201) and Bi2Sr2CaCuO8+δ (Bi2212). We find prominent peak structures in both normal and anomalous self-energies, but they cancel in the total self-energy making the structure apparently invisible, while the peaks make universally dominant contributions to superconducting gap, hence evidencing the signal that generates the high-Tc superconductivity. The relation between superfluid density and critical temperature supports involvement of universal carrier relaxation associated with dissipative strange metals, where enhanced superconductivity is promoted by entangled quantum-soup nature of the cuprates. The present achievement opens avenues for innovative machine-learning spectroscopy method to reveal fundamental properties hidden in direct experimental accesses.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
18 More
  • Received 23 May 2021
  • Revised 20 September 2021
  • Accepted 22 September 2021

DOI:https://doi.org/10.1103/PhysRevResearch.3.043099

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Erratum

Erratum: Hidden self-energies as origin of cuprate superconductivity revealed by machine learning [Phys. Rev. Research 3, 043099 (2021)]

Youhei Yamaji, Teppei Yoshida, Atsushi Fujimori, and Masatoshi Imada
Phys. Rev. Research 5, 019003 (2023)

Authors & Affiliations

Youhei Yamaji1,2,3,*, Teppei Yoshida4, Atsushi Fujimori5,6, and Masatoshi Imada7,8

  • 1Center for Green Research on Energy and Environmental Materials, National Institute for Materials Science, Namiki, Tsukuba-shi, Ibaraki 305-0044, Japan
  • 2Department of Applied Physics, University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
  • 3JST, PRESTO, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
  • 4Graduate School of Human and Environmental Studies, Kyoto University, Yoshida-nihonmatsu-cho, Sakyo-ku, Kyoto 606-8501, Japan
  • 5Department of Physics, University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
  • 6Department of Applied Physics, Waseda University, Shinjuku-ku, Tokyo 169-8555, Japan
  • 7Toyota Physical and Chemical Research Institute, Nagakute, Aichi 480-1192, Japan
  • 8Research Institute for Science and Technology, Waseda University, Shinjuku-ku, Tokyo 169-8555, Japan

  • *YAMAJI.Youhei@nims.go.jp

Article Text

Click to Expand

References

Click to Expand
Issue

Vol. 3, Iss. 4 — November - December 2021

Subject Areas
Reuse & Permissions

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review Research

Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

×

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×