Molybdenum Induced Modifications in the Quantum Capacitance of Graphene‐Based Supercapacitor Electrodes: First‐Principle Calculations

Herein, spin‐polarized calculation is performed based on density‐functional theory in the frame of generalized gradient approximation to examine the quantum capacitance (C Q ) and surface charge storage of graphene(G)‐based supercapacitor electrodes modified with molybdenum, sulfur, nitrogen, and monovacancy. In total, 15 electrode models, including graphitic doping, monovacancy doping, and Mo adsorption on pristine and single‐vacancy graphene structures are analyzed. In the results, it is demonstrated that vacancy defects and N/S/Mo doping enhances the C Q of graphene. Among all configurations, pyrrolic‐S (d1S) shows the lowest C Q performance due to few states at the Fermi level. Electrodes with Mo adsorption exhibit the highest C Q , particularly when Mo is adsorbed at the top site of graphene. However, formation and adsorption energy calculations suggest that Mo is more likely to adsorb at hollow sites. Optimally, Mo can be most effectively utilized by loading it onto vacancy or N/S‐decorated vacancy sites. The significant contribution of Mo's 4dz 2 and 4s states to C Q , along with the charge‐redistribution around the Mo complexes, may facilitate proton‐coupled electron transfer to enhance pseudocapacitance. In these findings, valuable insights into designing high quantum capacitance of 2D materials with electroactive sites for improved energy storage are offered.

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Publication Details

Journal
physica status solidi (b)
Published
2024-11-18
DOI
https://doi.org/10.1002/pssb.202400459
Primary Topic
Supercapacitor Materials and Fabrication
Type
article
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article

Molybdenum Induced Modifications in the Quantum Capacitance of Graphene‐Based Supercapacitor Electrodes: First‐Principle Calculations

V.W. Elloh, Eric K.K. Abavare, Abu Yaya, Henry Martin et al.
physica status solidi (b)
Supercapacitor Materials and Fabrication
article

Molybdenum Induced Modifications in the Quantum Capacitance of Graphene‐Based Supercapacitor Electrodes: First‐Principle Calculations

V.W. Elloh, Eric K.K. Abavare, Abu Yaya, Henry Martin, Linus Kweku Labik, David Ansi
article en

Abstract

Herein, spin‐polarized calculation is performed based on density‐functional theory in the frame of generalized gradient approximation to examine the quantum capacitance (C Q ) and surface charge storage of graphene(G)‐based supercapacitor electrodes modified with molybdenum, sulfur, nitrogen, and monovacancy. In total, 15 electrode models, including graphitic doping, monovacancy doping, and Mo adsorption on pristine and single‐vacancy graphene structures are analyzed. In the results, it is demonstrated that vacancy defects and N/S/Mo doping enhances the C Q of graphene. Among all configurations, pyrrolic‐S (d1S) shows the lowest C Q performance due to few states at the Fermi level. Electrodes with Mo adsorption exhibit the highest C Q , particularly when Mo is adsorbed at the top site of graphene. However, formation and adsorption energy calculations suggest that Mo is more likely to adsorb at hollow sites. Optimally, Mo can be most effectively utilized by loading it onto vacancy or N/S‐decorated vacancy sites. The significant contribution of Mo's 4dz 2 and 4s states to C Q , along with the charge‐redistribution around the Mo complexes, may facilitate proton‐coupled electron transfer to enhance pseudocapacitance. In these findings, valuable insights into designing high quantum capacitance of 2D materials with electroactive sites for improved energy storage are offered.

physica status solidi (b)Vol. 262(3)
University of Ghana (GH), Kwame Nkrumah University of Science and Technology (GH), Koforidua Technical University (GH)
Affordable and clean energy
Openalex Percentile: Top 88%
Supercapacitor Materials and Fabrication
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Molybdenum Induced Modifications in the Quantum Capacitance of Graphene‐Based Supercapacitor Electrodes: First‐Principle Calculations — V.W. Elloh, Eric K.K. Abavare, et al. · physica status solidi (b) (2024) | TGRS Research Map | TGRS