The highly porous three-dimensional (3D) graphene is a promising solid sorbent for carbon capture and storage. However, generally, the selectivity of a carbon-based sorbent for in a gas mixture (such as the post-combustion flue gas in a power plant) is only moderate (10–20), which limits its applications. Here, using the Grand Canonical Monte Carlo (GCMC) simulation, we investigate a new type of nitrogen doping (N-doping) in graphene that contains cationic nitrogen sites for adsorption. We found that due to the favorable electrostatic interaction both adsorption and selectivity are improved substantially for the porous 3D graphene with the cationic N-doping and are at least an order of magnitude higher than those for the ones without N-doping or with neutral N-doping (such as graphitic, pyridinic, and pyrrolic ones). Our results highlight the possibility for this modified porous 3D graphene to possess both high selectivity and large adsorption for carbon capture, enhancing its commercial viability.
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7 December 2022
Research Article|
December 05 2022
Improving CO2 capture in porous 3D-graphene by cationic nitrogen doping

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Daniel Luan;
Daniel Luan
a)
(Data curation, Formal analysis, Investigation, Writing – review & editing)
1
Horace Greeley High School
, Chappaqua, New York 10514, USA
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Victor Zhou;
Victor Zhou
(Data curation, Investigation, Writing – review & editing)
1
Horace Greeley High School
, Chappaqua, New York 10514, USA
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Nianjun Zhou;
Nianjun Zhou
a)
(Data curation, Formal analysis, Supervision, Writing – review & editing)
2
IBM Thomas J. Watson Research
, Yorktown Heights, New York 10598, USA
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Binquan Luan
Binquan Luan
a)
(Conceptualization, Methodology, Writing – original draft)
2
IBM Thomas J. Watson Research
, Yorktown Heights, New York 10598, USA
Search for other works by this author on:
Daniel Luan
1,a)
Victor Zhou
1
Nianjun Zhou
2,a)
Binquan Luan
2,a)
1
Horace Greeley High School
, Chappaqua, New York 10514, USA
2
IBM Thomas J. Watson Research
, Yorktown Heights, New York 10598, USA
J. Appl. Phys. 132, 214901 (2022)
Article history
Received:
October 05 2022
Accepted:
November 02 2022
Citation
Daniel Luan, Victor Zhou, Nianjun Zhou, Binquan Luan; Improving CO2 capture in porous 3D-graphene by cationic nitrogen doping. J. Appl. Phys. 7 December 2022; 132 (21): 214901. https://doi.org/10.1063/5.0129554
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