4篇
您的检索式：作者名="TERAYAMA Yuki"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Polystyrene-based blend nanorods with gradient composition distribution显示文摘The polystyrene-based polymer blends, partially miscible poly(bisphenol A carbonate)/polystyrene (PC/PS) and completely miscible poly(2,6-dimethylphenylene oxide)/polystyrene (PPO/PS), in nanorods with gradient composition distribution were discussed. The polymer blend nanorods were prepared by infiltrating the polymer blends into nanopores of anodic aluminum oxide (AAO) templates via capillary action. Their morphology was investigated by micro-Fourier transform infrared spectroscopy (micro-FTIR) and nano-thermal analysis (nano-TA) with spatial resolution. The composition gradient of polymer blends in the nanopores is governed by the difference of viscosity and miscibility between the two polymers in the blends and the pore diameter. The capillary wetting of porous AAO templates by polymer blends offers a unique method to fabricate functional nanostructured materials with gradient composition distribution for the potential application to nanodevices. | WU Hui SU ZhaoHui TERAYAMA Yuki TAKAHARA Atsushi | 2012 | Science China Chemistry2012，55，5： | 2 |
| 2 | Deep-learning-based quality filtering of mechanically exfoliated 2D crystals显示文摘Two-dimensional(2D)crystals are attracting growing interest in various research fields such as engineering,physics,chemistry,pharmacy,and biology owing to their low dimensionality and dramatic change of properties compared to the bulk counter parts.Among the various techniques used to manufacture 2D crystals,mechanical exfoliation has been essential to practical applications and fundamental research.However,mechanically exfoliated crystals on substrates contain relatively thick flakes that must be found and removed manually,limiting high-throughput manufacturing of atomic 2D crystals and van der Waals heterostructures.Here,we present a deep-learning-based method to segment and identify the thickness of atomic layer flakes from optical microscopy images.Through carefully designing a neural network based on U-Net,we found that our neural network based on Unet trained only with the data based on realistically small number of images successfully distinguish monolayer and bilayer MoS2 and graphene with a success rate of 70–80%,which is a practical value in the first screening process for choosing monolayer and bilayer flakes of all flakes on substrates without human eye.The remarkable results highlight the possibility that a large fraction of manual laboratory work can be replaced by AI-based systems,boosting productivity. | Yu Saito Kento Shin Kei Terayama Shaan Desai Masaru Onga Yuji Nakagawa Yuki M.Itahashi Yoshihiro Iwasa Makoto Yamada Koji Tsuda | 2019 | npj Computational Materials2019，，1： | 1 |
| 3 | Serum C-reactive protein levels can be used to predict future ischemic stroke and mortality in Japanese men from the general population显示文摘 | Shinji Makita Motoyuki Nakamura Kenyu Satoh Fumitaka Tanaka Toshiyuki Onoda Kazuko Kawamura Masaki Ohsawa Kozo Tanno Kazuyoshi Itai Kiyomi Sakata Akira Okayama Yasuo Terayama Yuki Yoshida Akira Ogawa | 2008 | Atherosclerosis2008，，1： | 1 |
| 4 | Wet ability and antifouling behavior on the surfaces of superhydrophilic polymer brushes显示文摘 | Kobayashi Motoyasu Terayama Yuki Yamaguchi Hiroki | | 0，，： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员