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Institution

Shanghai University

EducationShanghai, Shanghai, China
About: Shanghai University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Microstructure & Graphene. The organization has 59583 authors who have published 56840 publications receiving 753549 citations. The organization is also known as: Shànghǎi Dàxué.


Papers
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Journal ArticleDOI
Xuebing Zhao1, Zongwei Li1, Yi Chen2, Liyi Shi2, Yongfa Zhu1 
TL;DR: In this paper, the authors investigated solid phase photocatalytic degradation of polyethylene (PE) plastic with TiO2 in the ambient air under solar and ultraviolet light irradiation.
Abstract: This paper investigated solid-phase photocatalytic degradation of polyethylene (PE) plastic with TiO2 in the ambient air under solar and ultraviolet light irradiation. The photodegradation of the composite plastic was compared with that of pure PE through weight loss monitoring, scanning electron microscopic (SEM) analysis, gas chromatography (GC), FT-IR spectroscopy and X-ray photoelectron spectroscopy (XPS). PE-TiO2 composite plastic can be efficiently decomposed and the main products are CO2 and water. The weight-loss of PE-TiO2 (1 wt%) film reached 42% under solar irradiation for 300 h. The degradation rate can be controlled by changing the content of TiO2 nanoparticles in PE plastic. The degradation of composite plastic initiated on PE-TiO2 interface and then extended into polymer matrix induced by the diffusion of the reactive oxygen species generated on TiO2 particle surface. The present study demonstrates that the polymer-TiO2 compositing is a practical and promising way to degrade the plastic waste under solar light without any pollution.

175 citations

Proceedings ArticleDOI
10 Jul 2017
TL;DR: A new image fusion algorithm based on fourth order partial differential equations and principal component analysis and its performance is superior to state-of-the-art fusion methods, which makes it suitable for real time applications.
Abstract: In this paper, a new image fusion algorithm based on fourth order partial differential equations and principal component analysis is introduced. This is for the first time fourth order partial differential equations brought into the context of image fusion. The proposed algorithm is as follows: First, fourth order partial differential equations are applied on each source image to obtain approximation and detail images. Second, principal component analysis is applied on detail images to obtain optimal weights. Third, final detail image is obtained by fusing these detail images with help of optimal weights. Fourth, final approximation image is obtained by employing an average operation on approximation images. Finally, resultant fused image is calculated by combining the final approximation and detail images. Experiments are conducted on standard fusion datasets. Results are analyzed with help of petrovic metrics and further compared with traditional and recent fusion methods. Results justify that performance of the proposed method is superior to state-of-the-art fusion methods. Moreover, reasonable computational time, easy and effective implementation of the proposed method makes it suitable for real time applications.

175 citations

Journal ArticleDOI
TL;DR: In this paper, the authors found that NDs with a diameter of around 50nm predominantly accumulated in liver after intravenous injection to mouse and Spleen and lung were also target organs for NDs.

175 citations

Journal ArticleDOI
TL;DR: A palladium-catalyzed regioselective C-H cyanation of heteroarenes was achieved using tert-butyl isocyanide as "CN" source, which provides a new and unique strategy for the preparation of (hetero)aryl nitriles.

174 citations

Journal ArticleDOI
TL;DR: In this paper, the morphology effect of ZrO2-CeO2 on the performance of MnOx/ZrO 2-Co2-CoO2 catalyst for the selective catalytic reduction of NO with ammonia was investigated.
Abstract: The morphology effect of ZrO2–CeO2 on the performance of MnOx/ZrO2–CeO2 catalyst for the selective catalytic reduction of NO with ammonia was investigated. The catalytic tests showed that the MnOx/ZrO2–CeO2 nanorods achieved significantly higher NO conversions than the nanocubes and nanopolyhedra. The catalytic tests also showed that the MnOx/ZrO2–CeO2 nanorods achieved a significantly higher rate constant with respect to NO conversion than that of the nanocubes and nanopolyhedra. On the nanorods, the apparent activation energy is 25 kJ mol–1, which was much lower than the values of nanocubes and nanopolyhedra (42 and 43 kJ mol–1). The high resolution transmission electron microscopy showed that the nanorods predominately exposed {110} and {100} planes. It was demonstrated that the ZrO2–CeO2 nanorods had a strong interaction with MnOx species, which resulted in great superiority for the selective catalytic reduction of NO. The excellent catalytic activity of the MnOx/ZrO2–CeO2 nanorods should be attribute...

174 citations


Authors

Showing all 59993 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Yang Yang1712644153049
Yang Liu1292506122380
Zhen Li127171271351
Xin Wang121150364930
Jian Liu117209073156
Xin Li114277871389
Wei Zhang112118993641
Jianjun Liu112104071032
Liquan Chen11168944229
Jin-Quan Yu11143843324
Jonathan L. Sessler11199748758
Peng Wang108167254529
Qian Wang108214865557
Wei Zhang104291164923
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023182
2022741
20216,318
20205,569
20195,063
20184,235