Zobrazeno 1 - 10
of 644
pro vyhledávání: '"Asano, Takashi"'
Autor:
Inoue, Takuya, Noguchi, Naoya, Yoshida, Masahiro, Kim, Heungjoon, Asano, Takashi, Noda, Susumu
Non-Hermitian photonic systems are known to exhibit unique phenomena, where non-Hermiticity is typically introduced by material loss or gain. Here, we propose and experimentally demonstrate unidirectional phenomena solely based on radiation. Our desi
Externí odkaz:
http://arxiv.org/abs/2301.10373
Publikováno v:
In Journal of Pharmacological Sciences March 2024 154(3):127-138
Autor:
Inoue, Takuya, Ikeda, Keisuke, Song, Bongshik, Suzuki, Taiju, Ishino, Koya, Asano, Takashi, Noda, Susumu
Near-field thermal radiation transfer overcoming the far-field blackbody limit has attracted significant attention in recent years owing to its potential for drastically increasing the output power and conversion efficiency of thermophotovoltaic (TPV
Externí odkaz:
http://arxiv.org/abs/2105.03112
Autor:
Asano, Takashi, Noda, Susumu
Devices based on two-dimensional photonic-crystal (2D-PC) nanocavities, which are defined by their air hole patterns, usually require a high quality (Q) factor to achieve high performance. We demonstrate that hole patterns with very high Q factors ca
Externí odkaz:
http://arxiv.org/abs/1908.03702
Thermophotovoltaic systems in principle enable utilization of heat that is usually regarded as wasted energy. However, the wavelength selectivity of the thermal emitter required for high efficiencies is rather difficult to control with conventional d
Externí odkaz:
http://arxiv.org/abs/1906.05727
Autor:
Asano, Takashi1 (AUTHOR), Takemoto, Hiroki1 (AUTHOR), Horita, Tomoya1 (AUTHOR), Tokutake, Tomohiro1 (AUTHOR), Izuo, Naotaka1 (AUTHOR), Mochizuki, Takatoshi2 (AUTHOR), Nitta, Atsumi1 (AUTHOR) nitta@pha.u‐toyama.ac.jp
Publikováno v:
Neuropsychopharmacology Reports. Dec2023, Vol. 43 Issue 4, p505-512. 8p.
Akademický článek
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Akademický článek
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Autor:
Asano, Takashi, Noda, Susumu
An approach to optimizing the Q factors of two-dimensional photonic crystal (2D-PC) nanocavities based on deep learning is proposed and demonstrated. We prepare a dataset consisting of 1000 nanocavities generated by randomly displacing the positions
Externí odkaz:
http://arxiv.org/abs/1808.05722
Autor:
Asano, Takashi1 (AUTHOR) tasano@pha.u-toyama.ac.jp, Xuan, Meiyan2 (AUTHOR) genbien@josai.ac.jp, Iwata, Naohiro3 (AUTHOR) n-iwata@josai.ac.jp, Takayama, Jun2 (AUTHOR) takayama@josai.ac.jp, Hayashi, Kousuke2 (AUTHOR) hayashi@azuma-g.co.jp, Kato, Yosuke2 (AUTHOR) yosuke_kato@nipponrika.co.jp, Aoyama, Toshiya1 (AUTHOR) gyd2202@josai.ac.jp, Sugo, Hiroshi1 (AUTHOR) ma-tsu@josai.ac.jp, Matsuzaki, Hirokazu1 (AUTHOR), Yuan, Bo1 (AUTHOR) yuanbo@josai.ac.jp, Kamiuchi, Shinya3 (AUTHOR) kamiuchi@josai.ac.jp, Hibino, Yasuhide3 (AUTHOR) seitaib@josai.ac.jp, Sakamoto, Takeshi2 (AUTHOR) sakamoto@josai.ac.jp, Okazaki, Mari1 (AUTHOR) yuanbo@josai.ac.jp
Publikováno v:
International Journal of Molecular Sciences. Jun2023, Vol. 24 Issue 11, p9663. 18p.