Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Shota Okazaki"'
Autor:
Kei Kinoshita, Rai Moriya, Shota Okazaki, Yijin Zhang, Satoru Masubuchi, Kenji Watanabe, Takashi Taniguchi, Takao Sasagawa, Tomoki Machida
Publikováno v:
Physical Review Research, Vol 5, Iss 4, p 043292 (2023)
Few-layer (FL) transition metal dichalcogenides have been found to exhibit discrete subbands, called van der Waals quantum well (vdWQW) states, resulting from out-of-plane quantum confinement. In this study, we reveal the twisted-resonant tunneling c
Externí odkaz:
https://doaj.org/article/5b1c1188929142f685299cf6dfd71ecb
Autor:
Satoru Masubuchi, Masato Sakano, Yuma Tanaka, Yusai Wakafuji, Takato Yamamoto, Shota Okazaki, Kenji Watanabe, Takashi Taniguchi, Jincai Li, Hirotaka Ejima, Takao Sasagawa, Kyoko Ishizaka, Tomoki Machida
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Abstract We present a dry pick-and-flip assembly technique for angle-resolved photoemission spectroscopy (ARPES) of van der Waals heterostructures. By combining Elvacite2552C acrylic resin and 1-ethyl-3-methylimidazolium ionic liquid, we prepared pol
Externí odkaz:
https://doaj.org/article/6c887317e2414728af8c3799fccb54cc
Autor:
Masato Sakano, Yuma Tanaka, Satoru Masubuchi, Shota Okazaki, Takuya Nomoto, Atsushi Oshima, Kenji Watanabe, Takashi Taniguchi, Ryotaro Arita, Takao Sasagawa, Tomoki Machida, Kyoko Ishizaka
Publikováno v:
Physical Review Research, Vol 4, Iss 2, p 023247 (2022)
When a crystal becomes thin to the atomic level, peculiar phenomena discretely depending on its layer numbers (n) start to appear. Here, we investigate the electronic band dispersions of multilayer WTe_{2} (2–5 layers), by performing laser-based mi
Externí odkaz:
https://doaj.org/article/51af2aa3087e4d41a4ac26b1280deaa6
Autor:
Hiroki HASE, Yuichi MINE, Shota OKAZAKI, Yuki YOSHIMI, Shota ITO, Tzu-Yu PENG, Mizuho SANO, Yuma KOIZUMI, Naoya KAKIMOTO, Kotaro TANIMOTO, Takeshi MURAYAMA
Publikováno v:
Dental Materials Journal; 2024, Vol. 43 Issue 3, p394-399, 6p
Autor:
Kosei Tabira, Riho Kawaguchi, Yuichi Mine, Shogo Iwaguro, Tzu-Yu Peng, Yumi Tsuchida, Yukihiro Takayama, Shota Okazaki, Tsuyoshi Taji, Takeshi Murayama
Publikováno v:
Journal of Oral Science. 65:127-130
Autor:
Shota OKAZAKI, Yuichi MINE, Yuko IWAMOTO, Shiho URABE, Chieko MITSUHATA, Ryota NOMURA, Naoya KAKIMOTO, Takeshi MURAYAMA
Publikováno v:
Dental Materials Journal. 41:889-895
The aim of the feasibility study was to construct deep learning models for the classification of multiple dental anomalies in panoramic radiographs. Panoramic radiographs with single supernumerary teeth and/or odontomas were considered the "case" gro
Autor:
Yuichi Mine, Yuko Iwamoto, Shota Okazaki, Kentaro Nakamura, Saori Takeda, Tzu‐Yu Peng, Chieko Mitsuhata, Naoya Kakimoto, Katsuyuki Kozai, Takeshi Murayama
Publikováno v:
International Journal of Paediatric Dentistry. 32:678-685
Supernumerary teeth are a common anomaly and are frequently observed in paediatric patients. To prevent or minimize complications, early diagnosis and treatment is ideal in children with supernumerary teeth.This study aimed to apply convolutional neu
Autor:
Kei, Kinoshita, Rai, Moriya, Shota, Okazaki, Yijin, Zhang, Satoru, Masubuchi, Kenji, Watanabe, Takashi, Taniguchi, Takao, Sasagawa, Tomoki, Machida
Publikováno v:
Nano letters. 22(12)
We demonstrate van der Waals double quantum well (vDQW) devices based on few-layer WSe
Autor:
Takashi Taniguchi, Rai Moriya, Yijin Zhang, Kei Takeyama, Kenji Watanabe, Shota Okazaki, Tomoki Machida, Satoru Masubuchi, Takao Sasagawa
Publikováno v:
Nano Letters. 21:3929-3934
Few-layer transition metal dichalcogenides (TMDs) exhibit out-of-plane wave function confinement with subband quantization. This phenomenon is totally absent in monolayer crystals and is regarded a...
Autor:
Kenji Watanabe, Takao Sasagawa, Eisuke Watanabe, Yuta Seo, Tomoki Machida, Takashi Taniguchi, Shota Okazaki, Satoru Masubuchi
Publikováno v:
npj 2D Materials and Applications, Vol 4, Iss 1, Pp 1-9 (2020)
Deep-learning algorithms enable precise image recognition based on high-dimensional hierarchical image features. Here, we report the development and implementation of a deep-learning-based image segmentation algorithm in an autonomous robotic system