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Institution

Tokyo Institute of Technology

EducationTokyo, 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: Thin film & Catalysis. The organization has 46775 authors who have published 101656 publications receiving 2357893 citations. The organization is also known as: Tokyo Tech & Tokodai.


Papers
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Journal ArticleDOI
TL;DR: In this article, superhydrophobic nanoporous polydivinylbenzene materials are successfully synthesized by a novel solvothermal route, which exhibit high surface area, large pore volume, controllable average pore size, super-hydrophobicity and superoleophilicity.

371 citations

Journal ArticleDOI
TL;DR: A hybrid for the visible-light-driven photocatalytic reduction of CO2 using methanol as a reducing agent was developed by combining two different types of photocatalyst, similar to the photosynthesis Z-scheme.
Abstract: A hybrid for the visible-light-driven photocatalytic reduction of CO2 using methanol as a reducing agent was developed by combining two different types of photocatalysts: a Ru(II) dinuclear complex (RuBLRu′) used for CO2 reduction is adsorbed onto Ag-loaded TaON (Ag/TaON) for methanol oxidation. Isotope experiments clearly showed that this hybrid photocatalyst mainly produced HCOOH (TN = 41 for 9 h irradiation) from CO2 and HCHO from methanol. Therefore, it converted light energy into chemical energy (ΔG° = +83.0 kJ/mol). Photocatalytic reaction proceeds by the stepwise excitation of Ag/TaON and the Ru dinuclear complex on Ag/TaON, similar to the photosynthesis Z-scheme.

371 citations

Journal ArticleDOI
TL;DR: In this paper, a huge kinetic difference in olivine Li x MPO 4 (M = Fe,Mn) is demonstrated in a quantitative manner, and the current relaxation to the stepwise anodic overvoltage (chronoamperometry) is measured for the Li x FePO 4 and Li x MnPO 4 under identical extrinsic conditions, which are carefully controlled and confirmed using Rietveld refinement for the X-ray diffraction profiles, direct texture observation by scanning electron microscope, Brunauer-Emmett-Teller surface area measurements,
Abstract: A huge kinetic difference in olivine Li x MPO 4 (M = Fe,Mn) is demonstrated in a quantitative manner. Galvanostatic discharge profiles and the current relaxation to the stepwise anodic overvoltage (chronoamperometry) are comparatively measured for the Li x FePO 4 and Li x MnPO 4 under identical extrinsic conditions, which are carefully controlled and confirmed using Rietveld refinement for the X-ray diffraction profiles, direct texture observation by scanning electron microscope, Brunauer-Emmett-Teller surface area measurements, and tap density measurements. The current durability for Li x MnPO 4 is orders-of-magnitude inferior to that of Li x FePO 4 , the origin of which is clearly attributed to their intrinsic crystallographic and transport property differences. Heavy polaronic holes localized on the Mn 3+ sites are suggested as an important rate-limiting factor. In spite of the higher open-circuit voltage of Mn 3+ /Mn 2+ (4.05 V) compared to that of Fe 3+ /Fe 2+ (3.45 V) in the olivine framework, the abnormally large polarization may eliminate pure LiMnP0 4 as a practical lithium battery cathode due to much lower effective energy density than LiFePO 4 .

371 citations

Proceedings ArticleDOI
25 Jun 2006
TL;DR: A new dimensionality reduction method called local Fisher discriminant analysis (LFDA) is proposed, which is a localized variant of Fisher discriminating analysis that takes local structure of the data into account so the multimodal data can be embedded appropriately.
Abstract: Dimensionality reduction is one of the important preprocessing steps in high-dimensional data analysis. In this paper, we consider the supervised dimensionality reduction problem where samples are accompanied with class labels. Traditional Fisher discriminant analysis is a popular and powerful method for this purpose. However, it tends to give undesired results if samples in some class form several separate clusters, i.e., multimodal. In this paper, we propose a new dimensionality reduction method called local Fisher discriminant analysis (LFDA), which is a localized variant of Fisher discriminant analysis. LFDA takes local structure of the data into account so the multimodal data can be embedded appropriately. We also show that LFDA can be extended to non-linear dimensionality reduction scenarios by the kernel trick.

370 citations

Journal ArticleDOI
TL;DR: An evolutionarily conserved repetitive heptapeptide motif (consensus = G-S-R/Q-T-P) in the C-terminal region of hSpt5, which is highly phosphorylated by P-TEFb is described, considered to be a switch that converts DSIF from a repressor to an activator and proposed as the "mini-CTD" hypothesis.

369 citations


Authors

Showing all 46967 results

NameH-indexPapersCitations
Matthew Meyerson194553243726
Yury Gogotsi171956144520
Masayuki Yamamoto1711576123028
H. Eugene Stanley1541190122321
Takashi Taniguchi1522141110658
Shu-Hong Yu14479970853
Kazunori Kataoka13890870412
Osamu Jinnouchi13588586104
Hector F. DeLuca133130369395
Shlomo Havlin131101383347
Hiroyuki Iwasaki131100982739
Kazunari Domen13090877964
Hideo Hosono1281549100279
Hideyuki Okano128116967148
Andreas Strasser12850966903
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202388
2022358
20213,457
20203,694
20193,783
20183,531