Revisiting the origin of ORR and HER activities of N-doped gamma-graphdiyne from the perspective of edge effects

APPLIED SURFACE SCIENCE(2023)

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Abstract
Graphyne materials have shown promising advantages for fabrication of carbon-based, metal-free catalysts (CMFCs) in the electrocatalytic field. Herein, we report functionalized gamma-graphdiyne nanoribbons (gamma GDyNRs) by edge termination or N doping as potential bifunctional CMFCs for oxygen reduction reaction (ORR) and hydrogen evolution reaction (HER) via intensive density functional theory (DFT) simulations. It is revealed that sp-N doping (sandwiched by two sp-C) at the inner location and sp2-N doping near the edge can effectively boost the ORR and HER performance of inert gamma GDyNRs. Our results further demonstrate that sp2-N can play a principal role, especially when at the edge of gamma GDY; this effect was not addressed in earlier experimental and theoretical work. We also built a machine learning model for predicting bifunctional activities using a light gradient boosting machine. Feature importance analysis shows that the distance between adsorption site and the closest atom to it and the atomic charge of adsorption site are the most important features in determining the activities. Our work not only identifies gamma GDyNRs as promising alternative catalysts to Pt, but also benefits the rational design of novel CMFCs with high efficiency.
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Key words
Graphyne materials,Density functional theory,Bifunctional activity,Machine learning
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