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Institution

Wuhan University of Technology

EducationWuhan, China
About: Wuhan University of Technology is a education organization based out in Wuhan, China. It is known for research contribution in the topics: Microstructure & Photocatalysis. The organization has 40384 authors who have published 36724 publications receiving 575695 citations. The organization is also known as: WUT.


Papers
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Journal ArticleDOI
TL;DR: The dynamic remove of Crystal Violet by Semi-IPN hydrogels constituted of poly(acrylic acid-acrylamide-methacrylate) and amylose was studied and it was found that the sorption process agreed very well with the Langmuir model and the adsorption of CV depended on the length of the side chain,Amylose content and pH of the solution.

225 citations

Journal ArticleDOI
TL;DR: In this article, a thin layer of g-C3N4 was applied on the surface of TiO2 nanosheets by heating the mixture of the mixture and urea, which led to the formation of a TiO 2@g-C 3N4 nanosheet heterostructure.

224 citations

Journal ArticleDOI
TL;DR: In this article, the photocatalytic activity of core-shell nanocomposite nanowires was evaluated for the decolorization of Rhodamine B (RhB) aqueous solution at ambient temperature under UV-light irradiation.

224 citations

Book ChapterDOI
01 Jan 2011
TL;DR: This chapter brings some well used algorithms and techniques together and review the technical strengths of them to prepare a solid technology knowledge foundation for further chapters.
Abstract: Apart from the fundamental theoretical backgrounds talked in Chapter 2, in the context of web data mining, there are a lot of algorithms and approaches developed in a large volume of literatures. These various approaches and techniques are well studied and implemented in different applications and scenarios by research efforts contributed from the expertise of Database, Artificial Intelligence, Information Science, Natural Language Processing, Human Computer Interaction even Social Science. Although these algorithms and techniques are developed from the perspectives of different disciplines, they are widely and diversely explored and applied in the above mentioned areas simultaneously. In this chapter, we bring some well used algorithms and techniques together and review the technical strengths of them. We aim to prepare a solid technology knowledge foundation for further chapters.

224 citations

Journal ArticleDOI
TL;DR: It is shown how heating MOFs of zeolitic topology first results in a low density ‘perfect' glass, similar to those formed in ice, silicon and disaccharides, before a subsequent order–disorder transition, which creates a more fragile high-density liquid.
Abstract: Hybrid glasses connect the emerging field of metal-organic frameworks (MOFs) with the glass formation, amorphization and melting processes of these chemically versatile systems Though inorganic zeolites collapse around the glass transition and melt at higher temperatures, the relationship between amorphization and melting has so far not been investigated Here we show how heating MOFs of zeolitic topology first results in a low density 'perfect' glass, similar to those formed in ice, silicon and disaccharides This order-order transition leads to a super-strong liquid of low fragility that dynamically controls collapse, before a subsequent order-disorder transition, which creates a more fragile high-density liquid After crystallization to a dense phase, which can be remelted, subsequent quenching results in a bulk glass, virtually identical to the high-density phase We provide evidence that the wide-ranging melting temperatures of zeolitic MOFs are related to their network topologies and opens up the possibility of 'melt-casting' MOF glasses

224 citations


Authors

Showing all 40691 results

NameH-indexPapersCitations
Jiaguo Yu178730113300
Charles M. Lieber165521132811
Dongyuan Zhao160872106451
Yu Huang136149289209
Han Zhang13097058863
Chao Zhang127311984711
Bo Wang119290584863
Jianjun Liu112104071032
Hong Wang110163351811
Jimmy C. Yu10835036736
Søren Nielsen10580645995
Liqiang Mai10461639558
Bei Cheng10426033672
Feng Li10499560692
Qi Li102156346762
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023140
2022599
20213,894
20203,665
20193,551
20183,076