Institution
Tokyo Institute of Technology
Education•Tokyo, Tôkyô, Japan•
About: Tokyo Institute of Technology is a education organization based out in Tokyo, Tôkyô, Japan. It is known for research contribution in the topics: Catalysis & Thin film. The organization has 46775 authors who have published 101656 publications receiving 2357893 citations. The organization is also known as: Tokyo Tech & Tokodai.
Topics: Catalysis, Thin film, Laser, Phase (matter), Polymerization
Papers published on a yearly basis
Papers
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TL;DR: In this article, a two-step photoexcitation system composed of a IO3−/I− shuttle redox mediator and two different TiO2 photocatalysts, Pt-loadedTiO2-anatase for H2 evolution and TiO 2-rutile for O2 evolution, was designed to split water into H2 and O2.
309 citations
University of Tokyo1, Budker Institute of Nuclear Physics2, École Polytechnique Fédérale de Lausanne3, University of Sydney4, University of Melbourne5, Panjab University, Chandigarh6, National United University7, Polish Academy of Sciences8, University of Maribor9, National Taiwan University10, National Central University11, Hanyang University12, Yonsei University13, Gyeongsang National University14, Sungkyunkwan University15, Virginia Tech16, University of Cincinnati17, Tata Institute of Fundamental Research18, Korea University19, Nagoya University20, Nara Women's University21, Osaka University22, Tohoku Gakuin University23, Kyungpook National University24, Saga University25, Tokyo Institute of Technology26, Chiba University27, Niigata University28, Seoul National University29, Graduate University for Advanced Studies30, University of Ljubljana31, University of Giessen32, Austrian Academy of Sciences33, Osaka City University34, Tokyo University of Agriculture and Technology35, Toho University36, Kanagawa University37, University of Nova Gorica38, Tokyo Metropolitan University39, Tohoku University40, University of Science and Technology of China41
TL;DR: In this paper, the authors presented a method to solve the problem of the EKF problem in PhysRevLett, a Web of Science Record created on 2010-11-05, modified on 2017-12-10.
Abstract: Reference EPFL-ARTICLE-154576doi:10.1103/PhysRevLett.99.142002View record in Web of Science Record created on 2010-11-05, modified on 2017-12-10
308 citations
TL;DR: It is shown that three proteins required for sister chromatid cohesion, Eco1, Ctf4, and Ctf18, are found at and CTF4 travels along chromosomes with, replication forks and imposes constraints on the mechanism involved.
308 citations
TL;DR: An overview of the catalytic properties of intermetallic compounds has been made to provide a comprehensive understanding regarding what intermetall compounds can do, their fundamental roles in enhanced catalysis, and their advantages over other inorganic materials.
Abstract: An overview of the catalytic properties of intermetallic compounds has been made to provide a comprehensive understanding regarding (1) what intermetallic catalysts can do, (2) their fundamental roles in enhanced catalysis, and (3) their advantages over other inorganic materials. A number of chemical transformations using intermetallic catalysts have been surveyed and classified into three major divisions—hydrogenation/dehydrogenation, oxidation, and steam reforming and various subsections. The fundamental roles of intermetallic phases obtained from this survey were categorized into four types of effects: (a) electronic, (b) geometric, (c) steric, and (d) ordering effects. The unprecedented steric effects governed by the specific surface structures of intermetallic compounds highlight the unique capabilities of intermetallic materials. On the basis of this overview, we have concluded that intermetallic compounds have the following advantages for fine catalyst design: (i) control of the electronic structur...
307 citations
TL;DR: A fuzzy FMEA based on fuzzy set theory and VIKOR method is proposed for prioritization of failure modes, specifically intended to address some limitations of the traditional FMEa.
Abstract: Failure mode and effects analysis (FMEA) is a widely used risk assessment tool for defining, identifying, and eliminating potential failures or problems in products, process, designs, and services In traditional FMEA, the risk priorities of failure modes are determined by using risk priority numbers (RPNs), which can be obtained by multiplying the scores of risk factors like occurrence (O), severity (S), and detection (D) However, the crisp RPN method has been criticized to have several deficiencies In this paper, linguistic variables, expressed in trapezoidal or triangular fuzzy numbers, are used to assess the ratings and weights for the risk factors O, S, and D For selecting the most serious failure modes, the extended VIKOR method is used to determine risk priorities of the failure modes that have been identified As a result, a fuzzy FMEA based on fuzzy set theory and VIKOR method is proposed for prioritization of failure modes, specifically intended to address some limitations of the traditional FMEA A case study, which assesses the risk of general anesthesia process, is presented to demonstrate the application of the proposed model under fuzzy environment
307 citations
Authors
Showing all 46967 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Matthew Meyerson | 194 | 553 | 243726 |
| Yury Gogotsi | 171 | 956 | 144520 |
| Masayuki Yamamoto | 171 | 1576 | 123028 |
| H. Eugene Stanley | 154 | 1190 | 122321 |
| Takashi Taniguchi | 152 | 2141 | 110658 |
| Shu-Hong Yu | 144 | 799 | 70853 |
| Kazunori Kataoka | 138 | 908 | 70412 |
| Osamu Jinnouchi | 135 | 885 | 86104 |
| Hector F. DeLuca | 133 | 1303 | 69395 |
| Shlomo Havlin | 131 | 1013 | 83347 |
| Hiroyuki Iwasaki | 131 | 1009 | 82739 |
| Kazunari Domen | 130 | 908 | 77964 |
| Hideo Hosono | 128 | 1549 | 100279 |
| Hideyuki Okano | 128 | 1169 | 67148 |
| Andreas Strasser | 128 | 509 | 66903 |