Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Shinya Mine"'
Autor:
Gang Wang, Shinya Mine, Duotian Chen, Yuan Jing, Kah Wei Ting, Taichi Yamaguchi, Motoshi Takao, Zen Maeno, Ichigaku Takigawa, Koichi Matsushita, Ken-ichi Shimizu, Takashi Toyao
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Designing novel catalysts is key to solving many energy and environmental challenges. Despite the promise that data science approaches, including machine learning (ML), can accelerate the development of catalysts, truly novel catalysts have
Externí odkaz:
https://doaj.org/article/3444a831bf3f4374b6c3d29e699fbb6d
Autor:
Hiroshi Nakajima, Kosuke Kurushima, Shinya Mine, Hirofumi Tsukasaki, Masaya Matsuoka, Bin Gao, Sang-Wook Cheong, Shigeo Mori
Publikováno v:
Communications Materials, Vol 2, Iss 1, Pp 1-7 (2021)
Charged domain walls in ferroelectrics are interesting as they may enhance electrical conductivity. Here, atomic-resolution imaging of Ca3–xSrxTi2O7 reveals that charged domain boundaries are stabilized by an out-of-phase translational shift of cry
Externí odkaz:
https://doaj.org/article/a376742ec2cd4be9b6ea23b3a04f5081
Publikováno v:
Catalysis science and technology. 13(5):1459-1469
Ag(3 wt%)-loaded gamma-Al2O3 (Ag/Al2O3) catalysts were prepared using four types of commercially available alumina powders (CTB, PUR, VGL, and CFF). Based on the support, the activity of these catalysts for the H-2-assisted selective catalytic reduct
Autor:
Yuan Jing, Gang Wang, Shinya Mine, Jumpei Kawai, Ryo Toyoshima, Hiroshi Kondoh, Xiaorui Zhang, Shuhei Nagaoka, Ken-ichi Shimizu, Takashi Toyao
Publikováno v:
Journal of Catalysis. 416:209-221
Autor:
Shunsaku Yasumura, Yucheng Qian, Taisetsu Kato, Shinya Mine, Takashi Toyao, Zen Maeno, Ken-ichi Shimizu
Publikováno v:
ACS Catalysis. 12:9983-9993
Metal/oxide support perimeter sites are known to provide unique properties because the nearby metal changes the local environment on the support surface. In particular, the electron scavenger effect reduces the energy necessary for surface anion deso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e166411adf9a3883383f9d5dfe916cc
http://arxiv.org/abs/2305.00390
http://arxiv.org/abs/2305.00390
Autor:
Shinya Mine, Yuan Jing, Takumi Mukaiyama, Motoshi Takao, Zen Maeno, Ken-ichi Shimizu, Ichigaku Takigawa, Takashi Toyao
Publikováno v:
Chemistry letters. 51(3):269-273
Literature data based on the water gas shift (WGS) reaction have been analyzed using statistical methods based on machine learning (ML). Our ML approach, which considers elemental features as input representations rather than the catalyst composition
Autor:
Shinya Mine, Kah Wei Ting, Lingcong Li, Yoyo Hinuma, Zen Maeno, S. M. A. Hakim Siddiki, Takashi Toyao, Ken-ichi Shimizu
Publikováno v:
The Journal of Physical Chemistry C. 126:4472-4482
Publikováno v:
Catalysis Science & Technology. 12:2398-2410
Systematic computational efforts aimed at calculating surface anion vacancy formation energies as important descriptors of catalytic performance are summarized.
Publikováno v:
Physical chemistry chemical physics. 23(41):23768-23777
Spinel oxides are an important class of materials for heterogeneous catalysis including photocatalysis and electrocatalysis. The surface O vacancy formation energy (EOvac) is a critical quantity on catalyst performance because the surface of metal ox