Electrochemical Ce(III)/Ce(IV) Redox Behavior and Ce Oxide Nanostructure Recovery over Thio-Terpyridine-Functionalized Au/Carbon Paper Electrodes

Author(s):  
So Jeong Park ◽  
Min Hee Joo ◽  
Ju Hyun Yang ◽  
Sung-Min Hong ◽  
Choong Kyun Rhee ◽  
...  
Keyword(s):  
2011 ◽  
Vol 10 (6) ◽  
pp. 813-817
Author(s):  
Qiang He ◽  
Hainan Ai ◽  
Hongxiang Chai ◽  
Xuebin Hu ◽  
Tengrui Long

2021 ◽  
Vol 60 (8) ◽  
pp. 6107-6107
Author(s):  
Baihua Chen ◽  
Bijun Liu ◽  
Yao He ◽  
Daibing Luo ◽  
Wanjun Mu ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Sunglun Kwon ◽  
Ha Eun Lee ◽  
Donghoon Han ◽  
Jong Hyeon Lee

A thin film of MnxCo3−xO4 (MnCoO) nanocatalyst on a porous carbon fiber paper (CFP) electrode for efficient oxygen evolution reaction (OER).


Author(s):  
Fangying Zheng ◽  
Zeyu Wei ◽  
Huicong Xia ◽  
Yunchuan Tu ◽  
Xiangyu Meng ◽  
...  

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1141
Author(s):  
Ángel Encalada-Dávila ◽  
Mayken Espinoza-Andaluz ◽  
Julio Barzola-Monteses ◽  
Shian Li ◽  
Martin Andersson

A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy into electrical energy and heat. The energy conversion is simple; however, the multiphysics phenomena involved in the energy conversion process must be analyzed in detail. The gas diffusion layer (GDL) provides a diffusion media for reactant gases and gives mechanical support to the fuel cell. It is a complex medium whose properties impact the fuel cell’s efficiency. Therefore, an in-depth analysis is required to improve its mechanical and physical properties. In the current study, several transport phenomena through three-dimensional digitally created GDLs have been analyzed. Once the porous microstructure is generated and the transport phenomena are mimicked, transport parameters related to the fluid flow and mass diffusion are computed. The GDLs are approximated to the carbon paper represented as a grouped package of carbon fibers. Several correlations, based on the fiber diameter, to predict their transport properties are proposed. The digitally created GDLs and the transport phenomena have been modeled using the open-source library named Open Pore Network Modeling (OpenPNM). The proposed correlations show a good fit with the obtained data with an R-square of approximately 0.98.


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