Vacancy Defects and Multilayer Shading in Graphene Monolayers: Enhancing Proton Transport in Centimeter-Sized Direct Methanol Fuel Cells

Proton selectivity of monolayer graphene offers promising opportunities in energy devices. The impermeability of graphene to methanol, on the other hand, offers potential as a membrane in direct methanol fuel cells (DMFCs). The integration of graphene in DMFCs requires samples larger than 1 cm<sup>2</sup> and therefore must be grown via chemical vapor deposition (CVD) instead of using exfoliation. CVD graphene─as opposed to exfoliated flakes─however, contains inherent defects and multilayer patches, both of which could be harnessed to tune the fuel cell performance controllably. Here, we investigated the impact of multilayer patches on the performance of centimeter-scale graphene films in DMFCs. While single-crystalline graphene (SCG) has no multilayer patches, polycrystalline graphene (PCG) can exhibit an areal ratio of multilayer patches up to ∼4%. While multilayer patches are less reactive to plasma etching, the monolayers within SCG and PCG exhibit similar reactivity, enabling precise control over the etching process. These shaded areas of the membrane contribute to higher proton selectivity, likely due to more constrained and controlled defect sites. Our findings indicate that plasma-induced defects yield a proton conductance 10% higher than pristine graphene, and we attribute the enhanced performance of defected PCG to the shading effects provided by the multilayer patches.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-11-05
DOI
https://doi.org/10.1021/acsami.5c16491
Citations
1
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vacancy Defects and Multilayer Shading in Graphene Monolayers: Enhancing Proton Transport in Centimeter-Sized Direct Methanol Fuel Cells

Buhang Chen, Luzhao Sun, Xiaoting Liu, Grégory F. Schneider et al.
1 citations
ACS Applied Materials & Interfaces
Fuel Cells and Related Materials
0.73
article

Vacancy Defects and Multilayer Shading in Graphene Monolayers: Enhancing Proton Transport in Centimeter-Sized Direct Methanol Fuel Cells

Buhang Chen, Luzhao Sun, Xiaoting Liu, Grégory F. Schneider, Weizhe Zhang, Zhongfan Liu
article en
1 citations

Abstract

Proton selectivity of monolayer graphene offers promising opportunities in energy devices. The impermeability of graphene to methanol, on the other hand, offers potential as a membrane in direct methanol fuel cells (DMFCs). The integration of graphene in DMFCs requires samples larger than 1 cm<sup>2</sup> and therefore must be grown via chemical vapor deposition (CVD) instead of using exfoliation. CVD graphene─as opposed to exfoliated flakes─however, contains inherent defects and multilayer patches, both of which could be harnessed to tune the fuel cell performance controllably. Here, we investigated the impact of multilayer patches on the performance of centimeter-scale graphene films in DMFCs. While single-crystalline graphene (SCG) has no multilayer patches, polycrystalline graphene (PCG) can exhibit an areal ratio of multilayer patches up to ∼4%. While multilayer patches are less reactive to plasma etching, the monolayers within SCG and PCG exhibit similar reactivity, enabling precise control over the etching process. These shaded areas of the membrane contribute to higher proton selectivity, likely due to more constrained and controlled defect sites. Our findings indicate that plasma-induced defects yield a proton conductance 10% higher than pristine graphene, and we attribute the enhanced performance of defected PCG to the shading effects provided by the multilayer patches.

ACS Applied Materials & InterfacesVol. 17(46)
Leiden University (NL), Peking University (CN), University of Applied Sciences Leiden (NL), Beijing Graphene Institute (CN), Beijing National Laboratory for Molecular Sciences (CN)
Openalex Percentile: Top 22%
Fuel Cells and Related Materials
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.