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2D Ni2P/N-doped graphene heterostructure as a Novel electrocatalyst for hydrogen evolution reaction: A computational
Amin Esmaeili1, Farhad Keivanimehr2, Maryam Mokhtarian2
1Department of Chemical Engineering, School of Engineering Technology and Industrial Trades, College of the North Atlantic - Qatar, Doha, Qatar.
This study explores nickel phosphide (Ni₂P) and carbon heterostructures for enhanced hydrogen evolution reaction (HER) catalysis. N-doped graphene significantly lowers the HER energy barrier in Ni₂P/N-doped graphene, improving catalytic performance.
Area of Science:
- Materials Science
- Catalysis
- Computational Chemistry
Background:
- Designing efficient electrocatalysts requires understanding the relationship between electronic structure and catalytic activity.
- Nickel phosphide (Ni₂P) is a potent catalyst for the hydrogen evolution reaction (HER).
Purpose of the Study:
- To develop and analyze Ni₂P and carbon-based heterostructures for improved HER performance.
- To investigate the electronic structural properties influencing catalytic activity in these heterostructures.
Main Methods:
- Density Functional Theory (DFT) calculations were employed to analyze various Ni₂P and carbon-based heterostructures.
- Calculated properties include binding energies, projected density of states (PDOS), band structure, charge density difference, charge transfer, Hirshfeld charge analysis, and minimum-energy path (MEP) for HER.
Main Results:
- Coupling energies of hybrid systems correlated with charge transfer magnitudes.
- PDOS, band structures, and charge analysis revealed key factors for water-splitting, including nitrogen's electronegativity and Fermi level shifts.
- Ni₂P/N-doped graphene heterostructures showed a significant reduction in the HER energy barrier compared to pristine Ni₂P.
Conclusions:
- N-doping in graphene layers of Ni₂P/N-doped graphene heterostructures enhances catalytic activity for HER.
- The electronic structure modifications, particularly Fermi level shifts and charge transfer, are crucial for optimizing electrocatalyst performance.
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