2021
DOI: 10.1039/d0sm02212h
|View full text |Cite
|
Sign up to set email alerts
|

Random pore-network model for polymer electrolyte membranes

Abstract: Flow reversal (“back diffusion”) in Nafion: electro-osmotic coefficient as a function of humidification levels at anode and cathode.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
2
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 37 publications
1
2
0
Order By: Relevance
“…On 3D networks, the power law was closer to −1.5; 3D networks converge more quickly as network size increases. The faster convergence behaviour of 3D networks was not unexpected, and the results were inline with RSD values from another PNM study of transport within porous media [3].…”
Section: Discussionsupporting
confidence: 85%
See 2 more Smart Citations
“…On 3D networks, the power law was closer to −1.5; 3D networks converge more quickly as network size increases. The faster convergence behaviour of 3D networks was not unexpected, and the results were inline with RSD values from another PNM study of transport within porous media [3].…”
Section: Discussionsupporting
confidence: 85%
“…This is of the right magnitude but somewhat smaller than results found from PNM simulations undertaken by Berg and Nadon [3]. There, it was determined that a 3D network size of n = 24 was needed to get the RSD values below 2 %.…”
Section: B Reduced Standard Deviationmentioning
confidence: 69%
See 1 more Smart Citation