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Institution

Nanchang Hangkong University

EducationNanchang, China
About: Nanchang Hangkong University is a education organization based out in Nanchang, China. It is known for research contribution in the topics: Microstructure & Alloy. The organization has 7004 authors who have published 5270 publications receiving 62162 citations. The organization is also known as: Nanchang Aviation University.


Papers
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Journal ArticleDOI
TL;DR: In this article, a composite coating containing hexagonal boron nitride (hBN) particles and titanium oxide (TiO2) was formed on the surface of Ti-6Al-4V alloy via micro-arc oxidation (MAO).

64 citations

Journal ArticleDOI
TL;DR: In this paper, carbon nitride nanotubes (C3N4 NTs) were synthesized based on the nanosheets roll-up mechanism by a simple water-induced morphological transformation process using graphitic carbon dioxide as a precursor.
Abstract: Carbon nitride nanotubes (C3N4 NTs) were synthesized based on the nanosheets roll-up mechanism by a simple water-induced morphological transformation process using graphitic carbon nitride (g-C3N4) as a precursor. Water was used as the phase-transfer reagent, making the preparation process environmentally friendly. The visible-light photocatalytic activity of the as-prepared C3N4 NTs significantly increased compared to bulk g-C3N4 and g-C3N4 nanosheets toward rhodamine B degradation and hydrogen evolution from water-splitting. This result can be attributed to the high photogenerated carrier transfer efficiency, excellent mass transfer capability, sufficient active sites, and enhanced light utilization efficiency of C3N4 NTs.

64 citations

Journal ArticleDOI
TL;DR: In this paper, a nanowire arrays system consisting of an ordered configuration of Pt, Ni and Co was constructed in single-bath solution through pulse electrodeposition, which was evaluated as a potential amperometric nonenzymatic sensor to detect glucose in alkaline solution.

64 citations

Journal ArticleDOI
TL;DR: In this article, a square wave polarization method was used to simulate the CP fluctuation and its effect on pipeline steel pitting in a near-neutral pH solution, and an electrochemical state conversion model was developed to illustrate the pit initiation and growth on the cathodically polarized steel.

64 citations

Journal ArticleDOI
TL;DR: In this paper, poly-allylrhodanine (PAR) is designed and synthesized as an adsorbent, which features a unique acidity-enhanced adsorptivity property, thus achieving an ultrahigh capacity (651.0 mg g−1) and outstanding selectivity (>100) in the capture of Ag+ from wastewater with strong acidity (pH −0.2).
Abstract: Selective capture and direct recovery of silver ions from highly acidic wastewater are desirable but challenging for sustainable remediation of contamination. In this work, contraposing the characteristics of actual Ag-polluted water, poly-allylrhodanine (PAR) is designed and synthesized as an adsorbent. Different from most reported adsorbents, PAR features a unique acidity-enhanced adsorptivity property, thus achieving an ultrahigh capacity (651.0 mg g−1) and outstanding selectivity (>100) in the capture of Ag+ from wastewater with strong acidity (pH −0.2). Moreover, the purity of the reclaimed Ag+ reaches up to 99.80%, delivering an enormous economic benefit. Further characterization and theoretical calculations uncover that the CS and C–S groups on PAR act as adsorption sites to coordinate the Ag+ ions via a special pH-dependent protonation exchange mechanism. In the treatment of actual Ag-polluted water, the treatment capacity of PAR is as high as 4015 bed volumes (BV) per run at pH = −0.2, which is 100-fold higher than that of commercial resin, highlighting its great potential in practical applications. The wastewater feature-directed design concept and the high-performance adsorbent of PAR reported in this work may be helpful to fill the gap between the experimental laboratory and practical remediation of Ag-containing wastewater.

64 citations


Authors

Showing all 7046 results

NameH-indexPapersCitations
Jinghong Li11246548474
Chi Zhang88154538876
Feng Ding8548520354
Zhongping Chen8174224249
Xiaoming Liu7874524988
Lin Guo7741418999
Zhenhai Wen7326718380
Tong Wu6659119325
Xin Lu6337113739
Junwang Tang6222316059
Chak Tong Au6129812525
Qiang Liu6065220634
Shenglian Luo6018210509
Guo-Cong Guo6043912268
Paul L. Rosin5939113094
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202327
202296
2021614
2020507
2019470
2018386