scholarly journals Self-Assembled Silver Nanoparticles Decorated on Exfoliated Graphitic Carbon Nitride/Carbon Sphere Nanocomposites as a Novel Catalyst for Catalytic Reduction of Cr(VI) to Cr(III) from Wastewater and Reuse for Photocatalytic Applications

ACS Omega ◽  
2021 ◽  
Author(s):  
Eswaran Prabakaran ◽  
Kriveshini Pillay
Chemosphere ◽  
2017 ◽  
Vol 172 ◽  
pp. 147-154 ◽  
Author(s):  
Xiu Wang ◽  
Fatang Tan ◽  
Wei Wang ◽  
Xueliang Qiao ◽  
Xiaolin Qiu ◽  
...  

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 411
Author(s):  
Taoreed O. Owolabi ◽  
Mohd Amiruddin Abd Rahman

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.


2018 ◽  
Vol 826 ◽  
pp. 207-216 ◽  
Author(s):  
Pitchaimani Veerakumar ◽  
Chellakannu Rajkumar ◽  
Shen-Ming Chen ◽  
Balamurugan Thirumalraj ◽  
King-Chuen Lin

2019 ◽  
Vol 7 (19) ◽  
pp. 11584-11612 ◽  
Author(s):  
Na Tian ◽  
Hongwei Huang ◽  
Xin Du ◽  
Fan Dong ◽  
Yihe Zhang

This review article provides a comprehensive overview of the nanostructure design of g-C3N4 with various dimensional structures and promising applications.


2020 ◽  
Vol 5 (5) ◽  
pp. 765-786 ◽  
Author(s):  
Yang Li ◽  
Xin Li ◽  
Huaiwu Zhang ◽  
Quanjun Xiang

This review summarizes the development of PCN, i.e., synthesis, morphology, modification, and application in recent years. This review can provide a comprehensive view of PCN and lay a foundation for the design of ideal photocatalysts in the future.


2020 ◽  
Vol 10 (18) ◽  
pp. 6350-6358 ◽  
Author(s):  
Yingchun Xia ◽  
Deqi Wang ◽  
Ruixin Jia ◽  
Gege Xu ◽  
Junjie Zhan ◽  
...  

A structure-retention strategy for hierarchical graphitic carbon nitride with enhanced photocatalytic hydrogen evolution activity by direct calcination of self-assembled melamine aggregates.


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