The synergetic effect of N-doped graphene and silver nanowires for high electrocatalytic performance in the oxygen reduction reaction

RSC Advances ◽  
2013 ◽  
Vol 3 (29) ◽  
pp. 11552 ◽  
Author(s):  
Dongbo Yu ◽  
Jianfeng Yao ◽  
Ling Qiu ◽  
Yuzhou Wu ◽  
Lunxi Li ◽  
...  
Keyword(s):  
Oxygen Reduction Reaction ◽  
Oxygen Reduction ◽  
Silver Nanowires ◽  
Synergetic Effect ◽  
Reduction Reaction ◽  
Electrocatalytic Performance ◽  
Doped Graphene

Engineering self-assembled N-doped graphene–carbon nanotube composites towards efficient oxygen reduction electrocatalysts

2014 ◽  
Vol 16 (27) ◽  
pp. 13605-13609 ◽  
Author(s):  
Yun Zhang ◽  
Wen-Jie Jiang ◽  
Xing Zhang ◽  
Lin Guo ◽  
Jin-Song Hu ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Oxygen Reduction Reaction ◽  
Oxygen Reduction ◽  
Reduction Reaction ◽  
Electrocatalytic Performance ◽  
Nanotube Composites ◽  
Doped Graphene ◽  
Carbon Nanotube Composites ◽  
Self Assembled

Tuning the composition of N-doped graphene–carbon nanotube composites can boost their electrocatalytic performance for the oxygen reduction reaction.

scholarly journals Synergistically Enhanced Electrocatalytic Performance of an N-Doped Graphene Quantum Dot-Decorated 3D MoS2–Graphene Nanohybrid for Oxygen Reduction Reaction

ACS Omega ◽  
2016 ◽  
Vol 1 (5) ◽  
pp. 971-980 ◽  
Author(s):  
Ramalingam Vinoth ◽  
Indrajit M. Patil ◽  
Alagarsamy Pandikumar ◽  
Bhalchandra A. Kakade ◽  
Nay Ming Huang ◽  
...  
Keyword(s):  
Quantum Dot ◽  
Oxygen Reduction Reaction ◽  
Oxygen Reduction ◽  
Reduction Reaction ◽  
Graphene Quantum Dot ◽  
Electrocatalytic Performance ◽  
Doped Graphene

scholarly journals Importance of Doping Sequence in Multiple Heteroatom-Doped Reduced Graphene Oxide as Efficient Oxygen Reduction Reaction Electrocatalysts

Applied Nano ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 267-277
Author(s):  
Jin Hee Kim ◽  
Jong Hun Han ◽  
Jae-Hyung Wee ◽  
Go Bong Choi ◽  
Seungki Hong ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Oxygen Reduction Reaction ◽  
Oxygen Reduction ◽  
Reduced Graphene Oxide ◽  
Reduction Reaction ◽  
Single Step ◽  
Step Process ◽  
Electrocatalytic Performance ◽  
Reduced Graphene ◽  
Doped Graphene

Multiple heteroatom-doped graphene is of great interest for developing an efficient electrocatalyst for oxygen reduction reaction (ORR). To maximize the electrocatalytic performance of doped graphene, the competitive doping mechanism caused by the different atomic sizes of dopants should be developed. Herein, three different heteroatoms (e.g., N, P and B) are competitively introduced into reduced graphene oxide (RGO) using both single- and two-step processes. The total quantity of heteroatoms for ternary RGO synthesized using the two-step process is lower than that when using the single-step process. Higher ORR electrocatalytic activity for the two-step-synthesized RGO compared to the single-step-synthesized RGO can be explained by: (a) a high amount of P atoms; (b) the fact that B doping itself decreases the less electrocatalytic N moieties such as pyrrole and pyridine and increases the high electrocatalytic moieties such as quaternary N; (c) a high amount of B atoms itself within the RGO act as an electrocatalytic active center for O2 adsorption; and (d) a small amount of substitutional B might increase the electrical conductivity of RGO. Our findings provide new insights into the design of heteroatom-doped carbon materials with excellent electrocatalytic performance.

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.

Sign in / Sign up

Export Citation Format

Share Document