Isotype heterostructure of bulk and nanosheets of graphitic carbon nitride for efficient visible light photodegradation of methylene blue

RSC Advances ◽  
2016 ◽  
Vol 6 (30) ◽  
pp. 24976-24984 ◽  
Author(s):  
Biswajit Choudhury ◽  
P. K. Giri
Keyword(s):  
Methylene Blue ◽  
Charge Carrier ◽  
Visible Light ◽  
Band Gap ◽  
Carbon Nitride ◽  
Graphitic Carbon ◽  
Graphitic Carbon Nitride ◽  
Visible Light Photocatalysis ◽  
Mean Lifetime

Isotype heterostructure of bulk and nanosheets of graphitic carbon nitride with effective band gap of 2.62 eV and charge carrier mean lifetime of 21 ns exhibits an efficient visible light photocatalysis.

scholarly journals Prediction of Band Gap Energy of Doped Graphitic Carbon Nitride Using Genetic Algorithm-Based Support Vector Regression and Extreme Learning Machine

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 411
Author(s):  
Taoreed O. Owolabi ◽  
Mohd Amiruddin Abd Rahman
Keyword(s):  
Genetic Algorithm ◽  
Visible Light ◽  
Band Gap ◽  
Carbon Nitride ◽  
Activation Function ◽  
Graphitic Carbon ◽  
Graphitic Carbon Nitride ◽  
Support Vector ◽  
Learning Machine ◽  
Photocatalytic Applications

Graphitic carbon nitride is a stable and distinct two dimensional carbon-based polymeric semiconductor with remarkable potentials in organic pollutants degradation, chemical sensors, the reduction of CO2, water splitting and other photocatalytic applications. Efficient utilization of this material is hampered by the nature of its band gap and the rapid recombination of electron-hole pairs. Heteroatom incorporation due to doping alters the symmetry of the semiconductor and has been among the adopted strategies to tailor the band gap for enhancing the visible-light harvesting capacity of the material. Electron modulation and enhancement of reaction active sites due to doping as evident from the change in specific surface area of doped graphitic carbon nitride is employed in this work for modeling the associated band gap using hybrid genetic algorithm-based support vector regression (GSVR) and extreme learning machine (ELM). The developed GSVR performs better than ELM-SINE (with sine activation function), ELM-TRANBAS (with triangular basis activation function) and ELM-SIG (with sigmoid activation function) model with performance enhancement of 69.92%, 73.59% and 73.67%, respectively, on the basis of root mean square error as a measure of performance. The four developed models are also compared using correlation coefficient and mean absolute error while the developed GSVR demonstrates a high degree of precision and robustness. The excellent generalization and predictive strength of the developed models would ultimately facilitate quick determination of the band gap of doped graphitic carbon nitride and enhance its visible-light harvesting capacity for various photocatalytic applications.

Visible-light enhancement of methylene blue photodegradation by graphitic carbon nitride-titania composites

2014 ◽  
Vol 27 ◽  
pp. 966-974 ◽  
Author(s):  
Dongying Fu ◽  
Gaoyi Han ◽  
Feifei Liu ◽  
Yaoming Xiao ◽  
Hongfei Wang ◽  
...  
Keyword(s):  
Methylene Blue ◽  
Visible Light ◽  
Carbon Nitride ◽  
Graphitic Carbon ◽  
Graphitic Carbon Nitride ◽  
Light Enhancement

Fabrication of porous g-C3N4/Ag/Fe2O3 composites with enhanced visible light photocatalysis performance

RSC Advances ◽  
2015 ◽  
Vol 5 (72) ◽  
pp. 58738-58745 ◽  
Author(s):  
Jinjuan Xue ◽  
Shuaishuai Ma ◽  
Yuming Zhou ◽  
Zewu Zhang ◽  
Xiangyu Liu
Keyword(s):  
Visible Light ◽  
Carbon Nitride ◽  
Porous Graphitic Carbon ◽  
Graphitic Carbon ◽  
Graphitic Carbon Nitride ◽  
Visible Light Photocatalysis ◽  
Chemical Adsorption ◽  
Adsorption Method ◽  
Simple Chemical ◽  
Visible Light Driven

Porous graphitic carbon nitride (pg-C3N4) synthetized by pyrolysis of urea was hybridized with Ag-doped Fe2O3 to form a visible-light-driven photocatalyst pg-C3N4/Ag/Fe2O3via a simple chemical adsorption method.

Constructing CeO2/nitrogen-doped carbon quantum dot/g-C3N4 heterojunction photocatalysts for highly efficient visible light photocatalysis

Nanoscale ◽  
2020 ◽  
Vol 12 (37) ◽  
pp. 19112-19120
Author(s):  
Houjuan Qi ◽  
Cai Shi ◽  
Xiaona Jiang ◽  
Min Teng ◽  
Zhe Sun ◽  
...  
Keyword(s):  
Quantum Dot ◽  
Visible Light ◽  
Carbon Nitride ◽  
Graphitic Carbon ◽  
Graphitic Carbon Nitride ◽  
Visible Light Photocatalysis ◽  
Nitrogen Doped ◽  
Carbon Quantum Dot ◽  
Highly Efficient ◽  
Nitrogen Doped Carbon

Ternary CeO2/nitrogen-doped carbon quantum dot (NCQD)/graphitic carbon nitride (g-C3N4) heterojunction nanocomposites were prepared and tested for degrading tetracycline (TC) and generating H2.

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