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Order recognition by Schubert polynomials generated by optical near-field statistics via nanometre-scale photochromism.
Uchiyama, Kazuharu; Nakajima, Sota; Suzui, Hirotsugu; Chauvet, Nicolas; Saigo, Hayato; Horisaki, Ryoichi; Uchida, Kingo; Naruse, Makoto; Hori, Hirokazu.
Afiliación
  • Uchiyama K; University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan. kuchiyama@yamanashi.ac.jp.
  • Nakajima S; Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Bunkyo-ku, Tokyo, 113-8656, Japan.
  • Suzui H; Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Bunkyo-ku, Tokyo, 113-8656, Japan.
  • Chauvet N; Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Bunkyo-ku, Tokyo, 113-8656, Japan.
  • Saigo H; Nagahama Institute of Bio-Science and Technology, 1266 Tamura, Nagahama, Shiga, 526-0829, Japan.
  • Horisaki R; Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Bunkyo-ku, Tokyo, 113-8656, Japan.
  • Uchida K; Ryukoku University, 1-5 Yokotani, Oe-cho, Seta, Otsu, Shiga, 520-2194, Japan.
  • Naruse M; Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Bunkyo-ku, Tokyo, 113-8656, Japan. makoto_naruse@ipc.i.u-tokyo.ac.jp.
  • Hori H; University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan.
Sci Rep ; 12(1): 19008, 2022 Nov 08.
Article en En | MEDLINE | ID: mdl-36347870
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido