Cobaltic Core-Carbon Shell Nanoparticles/N-Doped Graphene Composites as Efficient Electrocatalyst for Oxygen Reduction Reaction

2018 ◽  
Vol 6 (11) ◽  
pp. 2282-2288 ◽  
Author(s):  
Qiao Gao ◽  
Ying Huang ◽  
Xiaopeng Han ◽  
Xiulan Qin ◽  
Ming Zhao
Keyword(s):  
Oxygen Reduction Reaction ◽  
Oxygen Reduction ◽  
Reduction Reaction ◽  
Carbon Shell ◽  
Shell Nanoparticles ◽  
Doped Graphene

scholarly journals Eco-Friendly Nitrogen-Doped Graphene Preparation and Design for the Oxygen Reduction Reaction

Molecules ◽  
2021 ◽  
Vol 26 (13) ◽  
pp. 3858
Author(s):  
Monica Dan ◽  
Adriana Vulcu ◽  
Sebastian A. Porav ◽  
Cristian Leostean ◽  
Gheorghe Borodi ◽  
...  
Keyword(s):  
Oxygen Reduction Reaction ◽  
Oxygen Reduction ◽  
Rotating Disk ◽  
Reduction Reaction ◽  
Machine Learning Algorithms ◽  
Rotating Disk Electrode ◽  
X Ray ◽  
Synthesis Conditions ◽  
Characterization Techniques ◽  
Doped Graphene

Four N-doped graphene materials with a nitrogen content ranging from 8.34 to 13.1 wt.% are prepared by the ball milling method. This method represents an eco-friendly mechanochemical process that can be easily adapted for industrial-scale productivity and allows both the exfoliation of graphite and the synthesis of large quantities of functionalized graphene. These materials are characterized by transmission and scanning electron microscopy, thermogravimetry measurements, X-ray powder diffraction, X-ray photoelectron and Raman spectroscopy, and then, are tested towards the oxygen reduction reaction by cyclic voltammetry and rotating disk electrode methods. Their responses towards ORR are analysed in correlation with their properties and use for the best ORR catalyst identification. However, even though the mechanochemical procedure and the characterization techniques are clean and green methods (i.e., water is the only solvent used for these syntheses and investigations), they are time consuming and, generally, a low number of materials can be prepared, characterized and tested. In order to eliminate some of these limitations, the use of regression learner and reverse engineering methods are proposed for facilitating the optimization of the synthesis conditions and the materials’ design. Thus, the machine learning algorithms are applied to data containing the synthesis parameters, the results obtained from different characterization techniques and the materials response towards ORR to quickly provide predictions that allow the best synthesis conditions or the best electrocatalysts’ identification.

A Facile Synthesis of Nitrogen/Sulfur Co-Doped Graphene for the Oxygen Reduction Reaction

ChemCatChem ◽  
2015 ◽  
Vol 8 (1) ◽  
pp. 163-170 ◽  
Author(s):  
Fuping Pan ◽  
Youxin Duan ◽  
Xinkai Zhang ◽  
Junyan Zhang
Keyword(s):  
Oxygen Reduction Reaction ◽  
Oxygen Reduction ◽  
Reduction Reaction ◽  
Facile Synthesis ◽  
Doped Graphene ◽  
Co Doped

Synthesis of boron doped graphene for oxygen reduction reaction in fuel cells

2012 ◽  
Vol 22 (2) ◽  
pp. 390-395 ◽  
Author(s):  
Zhen-Huan Sheng ◽  
Hong-Li Gao ◽  
Wen-Jing Bao ◽  
Feng-Bin Wang ◽  
Xing-Hua Xia
Keyword(s):  
Fuel Cells ◽  
Oxygen Reduction Reaction ◽  
Oxygen Reduction ◽  
Reduction Reaction ◽  
Boron Doped ◽  
Doped Graphene
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