Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Motoki Shiga"'
Publikováno v:
NPG Asia Materials, Vol 16, Iss 1, Pp 1-10 (2024)
Abstract The intermediate-range order of covalently bonded glasses has been extensively studied in terms of their diffraction peaks observed at low scattering angles; these peaks are called the first sharp diffraction peaks (FSDPs). Although the atom
Externí odkaz:
https://doaj.org/article/47913bda66b3420aaa81c6fdc390e9c5
Autor:
Yui Muto, Takumi Nakaso, Motoya Shinozaki, Takumi Aizawa, Takahito Kitada, Takashi Nakajima, Matthieu R. Delbecq, Jun Yoneda, Kenta Takeda, Akito Noiri, Arne Ludwig, Andreas D. Wieck, Seigo Tarucha, Atsunori Kanemura, Motoki Shiga, Tomohiro Otsuka
Publikováno v:
APL Machine Learning, Vol 2, Iss 2, Pp 026110-026110-7 (2024)
Charge state recognition in quantum dot devices is important in the preparation of quantum bits for quantum information processing. Toward auto-tuning of larger-scale quantum devices, automatic charge state recognition by machine learning has been de
Externí odkaz:
https://doaj.org/article/4c4beac6aef9401490f65bd36d603b10
Ring-originated anisotropy of local structural ordering in amorphous and crystalline silicon dioxide
Publikováno v:
Communications Materials, Vol 4, Iss 1, Pp 1-14 (2023)
Abstract Rings comprising chemically bonded atoms are essential topological motifs for the structural ordering of network-forming materials. Quantification of such larger motifs beyond short-range pair correlation is essential for understanding the l
Externí odkaz:
https://doaj.org/article/c98e9853da914d4d91d7f88c4d7ed244
Autor:
Shinji Kohara, Motoki Shiga, Yohei Onodera, Hirokazu Masai, Akihiko Hirata, Motohiko Murakami, Tetsuya Morishita, Koji Kimura, Kouichi Hayashi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract The network topology in disordered materials is an important structural descriptor for understanding the nature of disorder that is usually hidden in pairwise correlations. Here, we compare the covalent network topology of liquid and solidif
Externí odkaz:
https://doaj.org/article/85a1e24fbce84eaa894e551addab5c25
Autor:
Koji Kimoto, Motoki Shiga, Shinji Kohara, Jun Kikkawa, Ovidiu Cretu, Yohei Onodera, Kazuo Ishizuka
Publikováno v:
AIP Advances, Vol 12, Iss 9, Pp 095219-095219-6 (2022)
The crystallographic structures of disordered materials are typically analyzed using diffractometry techniques, such as x-ray diffraction (XRD), neutron diffraction (ND), and electron diffraction (ED). Here, we demonstrate a novel technique to analyz
Externí odkaz:
https://doaj.org/article/281593365aa9498b84dca55ba3114ea7
Autor:
Slim Fourati, Aarthi Talla, Mehrad Mahmoudian, Joshua G. Burkhart, Riku Klén, Ricardo Henao, Thomas Yu, Zafer Aydın, Ka Yee Yeung, Mehmet Eren Ahsen, Reem Almugbel, Samad Jahandideh, Xiao Liang, Torbjörn E. M. Nordling, Motoki Shiga, Ana Stanescu, Robert Vogel, The Respiratory Viral DREAM Challenge Consortium, Gaurav Pandey, Christopher Chiu, Micah T. McClain, Christopher W. Woods, Geoffrey S. Ginsburg, Laura L. Elo, Ephraim L. Tsalik, Lara M. Mangravite, Solveig K. Sieberts
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-11 (2018)
The response to respiratory virus exposure can currently not be predicted by pre- or early post-exposure molecular signatures. Here, the authors conduct a community-based analysis of blood gene expression from healthy individuals exposed to respirato
Externí odkaz:
https://doaj.org/article/cbc4730ec0cb4a8bba4f75028fefde37
Autor:
Shion, Takeno, Hitoshi, Fukuoka, Yuhki, Tsukada, Toshiyuki, Koyama, Motoki, Shiga, Ichiro, Takeuchi, Masayuki, Karasuyama
Publikováno v:
Neural Computation. 34:2145-2203
Bayesian optimization (BO) is a popular method for expensive black-box optimization problems; however, querying the objective function at every iteration can be a bottleneck that hinders efficient search capabilities. In this regard, multifidelity Ba
Publikováno v:
Physical Review B. 107
Publikováno v:
ACS Energy Letters. 6:2985-2992
Autor:
Motoki Shiga
Publikováno v:
F1000Research, Vol 5 (2016)
Metastatic castrate resistant prostate cancer (mCRPC) is the major cause of death in prostate cancer patients. Even though some options for treatment of mCRPC have been developed, the most effective therapies remain unclear. Thus finding key patient
Externí odkaz:
https://doaj.org/article/c90469c47faa45a9a8be942b09232f30