Articles with "gcn" as a keyword



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NiO–Ni/graphitic carbon nitride as a selective catalyst for transfer hydrogenation of carbonyl compounds using NaH2PO2 as a hydrogen source

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Published in 2021 at "International Journal of Hydrogen Energy"

DOI: 10.1016/j.ijhydene.2021.06.133

Abstract: Abstract The selective hydrogenation of a chemical functionality in the presence of other groups is an excellent strategy to avoid multiple synthetic steps. Earth abundant Ni metal supported on graphitic carbon nitride (NiO–Ni/GCN) has been… read more here.

Keywords: hydrogen; hydrogenation; graphitic carbon; gcn ... See more keywords
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Strategy to improve the super-capacitive and hydrogen evolution performance of graphitic carbon nitrides via enrichment of carbon content

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Published in 2020 at "Journal of Alloys and Compounds"

DOI: 10.1016/j.jallcom.2020.157671

Abstract: Abstract Herein, we have explored a strategy via increasing the carbon content to enhance conductivity along with improved surface area of mesoporous graphitic carbon nitride (mp-gCN) in which C/N ratio is calculated to be 1.2… read more here.

Keywords: carbon; gcn; graphitic carbon; performance ... See more keywords
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Construction of sponge-like graphitic carbon nitride and silver oxide nanocomposite probe for highly sensitive and selective turn-off fluorometric detection of hydrogen peroxide.

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Published in 2019 at "Journal of colloid and interface science"

DOI: 10.1016/j.jcis.2019.09.109

Abstract: In the present work, spongy graphitic carbon nitride (GCN) and silver oxide nanocomposites were prepared through a facile hydrothermal method at 160 °C for 4 h using GCN, silver nitrate, and dipotassium hydrogen phosphate as the starting… read more here.

Keywords: hydrogen; silver oxide; gcn; carbon nitride ... See more keywords
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Enhancing the photocatalytic degradation of ciprofloxacin contaminant using a combined laser irradiation (285/365 nm) and porous g-C3N4

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Published in 2020 at "Materials Chemistry and Physics"

DOI: 10.1016/j.matchemphys.2020.123198

Abstract: Abstract This work reports the use of porous graphitic carbon nitride (g-C3N4, gCN) for the photocatalytic degradation of ciprofloxacion (CPX) contaminant using two laser wavelengths (285/365 nm). The simultaneous irradiation with both wavelengths promoted the total… read more here.

Keywords: degradation; irradiation; cpx; 285 365 ... See more keywords
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Molecular Mn-catalysts grafted on graphitic carbon nitride (gCN): The behavior of gCN as support matrix in oxidation reactions

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Published in 2018 at "Polyhedron"

DOI: 10.1016/j.poly.2018.06.048

Abstract: Abstract We report a synthetic methodology for covalent grafting of metal complexes with Schiff base ligands, on gCN as support. Based on this, the La@gCN-MnII and Lt@gCN-MnII materials have been prepared. Their physicochemical characterization suggested… read more here.

Keywords: gcn support; molecular catalysts; gcn; gcn mnii ... See more keywords
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New Insights into Co-pyrolysis among Graphitic Carbon Nitride and Organic Compounds: Carbonaceous Gas Fragments Induced Synthesis of Ultrathin Mesoporous Nitrogen-Doped Carbon Nanosheets for Heterogeneous Catalysis.

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Published in 2020 at "ACS applied materials & interfaces"

DOI: 10.1021/acsami.0c14538

Abstract: N-doped carbon materials are well known as promising metal-free catalysts and applied in innumerable industrial synthetics. However, most of the N-doped carbon materials obtained by conventional synthetic means exhibit generally low mesoporosity, and their reported… read more here.

Keywords: carbon nanosheets; doped carbon; carbon; pyrolysis ... See more keywords
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Synthesis and Characterization of a Tertiary Composite of Cu, Mn, and g-C3N4: An Efficient Visible Light-Active Catalyst for Wastewater Treatment

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Published in 2023 at "ACS Omega"

DOI: 10.1021/acsomega.3c00814

Abstract: In this study, a tertiary composite of graphitic carbon nitride (GCN) with copper and manganese is utilized for photocatalytic degradation to add to efforts for tackling environmental pollution problems. The photocatalytic efficiency of GCN is… read more here.

Keywords: tertiary composite; gcn; photocatalytic degradation; synthesis characterization ... See more keywords
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Radical defects modulate the photocatalytic response in 2D-graphitic carbon nitride

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Published in 2022 at "Chemical Science"

DOI: 10.1039/d2sc03964h

Abstract: Graphitic carbon nitride (gCN) is an important heterogeneous metal-free catalytic material. Thermally induced post-synthetic modifications, such as amorphization and/or reduction, were recently used to enhance the photocatalytic response of these materials for certain classes of… read more here.

Keywords: graphitic carbon; photocatalytic response; gcn; carbon nitride ... See more keywords
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Unravelling the doping effect of potassium ions on structural modulation and photocatalytic activity of graphitic carbon nitride

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Published in 2023 at "RSC Advances"

DOI: 10.1039/d3ra00934c

Abstract: Graphitic carbon nitride (GCN), as a promising photocatalyst, has been intensely investigated in the photocatalytic fields, but its performance is still unsatisfactory. To date, metal ion doping has been proven to be an effective modification… read more here.

Keywords: doped gcn; photocatalytic activity; gcn; temperature ... See more keywords
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A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images

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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2022.3153671

Abstract: The spatial correlation among different tissue components is an essential characteristic for diagnosis of breast cancers based on histopathological images. Graph convolutional network (GCN) can effectively capture this spatial feature representation, and has been successfully… read more here.

Keywords: network; gcn; breast; framework ... See more keywords
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A Novel SAR Target Recognition Method Combining Electromagnetic Scattering Information and GCN

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3178234

Abstract: The existing deep learning studies on synthetic aperture radar (SAR) automatic target recognition (ATR) mainly focus on the utilization of the amplitude of SAR image via convolutional neural network (CNN), while the electromagnetic scattering information… read more here.

Keywords: recognition; gcn; scattering information; electromagnetic scattering ... See more keywords