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

• 山地, 洋平

  Center for Green Research on Energy and Environmental Materials, National Institute for Materials Science; Department of Applied Physics, University of Tokyo; JST, PRESTO

• 吉田, 鉄平

  Graduate School of Human and Environmental Studies, Kyoto University

• 藤森, 淳

  Department of Physics, University of Tokyo; Department of Applied Physics, Waseda University

• 今田, 正俊

  Toyota Physical and Chemical Research Institute; Research Institute for Science and Technology, Waseda University

抄録

人工ニューラルネットワークで明らかになった高温超伝導の隠れた起源. 京都大学プレスリリース. 2021-11-09.

収録刊行物

• Physical Review Research

  Physical Review Research 3 (4), 043099-, 2021-11

  American Physical Society (APS)

キーワード

• Superconductivity
• Strongly correlated systems
• Machine learning
• Photoemission spectroscopy

詳細情報

• CRID: 1050008597648705280
• NII論文ID: 120007168541
• DOI: 10.1103/physrevresearch.3.043099
• ISSN: 26431564
• HANDLE: 2433/265876
• Web Site: https://link.aps.org/article/10.1103/PhysRevResearch.3.043099
• Web Site: http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevResearch.3.043099/fulltext
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • Crossref
  • CiNii Articles
  • KAKEN