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Polymerization Improvement of Graphitic Carbon Nitride Films Derived from Melamine and Thiourea

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Deposition of low-cost, efficient, and environmentally friendly graphitic carbon nitride (g-CN) films as photoanodes is a crucial step for constructing photoelectrochemical (PEC) cells and exploring their PEC performance. Currently, the improvement of the photocurrent density of g-CN films is badly needed for their practical applications in PEC water splitting. Enhancing the g-CN crystallinity by optimizing their synthesis conditions only through screening appropriate reactant precursors is insufficient for this purpose. Herein, using melamine and thiourea precursors with mass ratio 5:1, the degree of polymerization of g-CN thin films is successfully improved by a thermal vapor condensation method. The obtained pure g-CN exhibits a remarkably enhanced photocurrent density of 404.4 µA cm−2 at 1.23 V versus reversible hydrogen electrodes. Theoretical calculations reveal that the continuous attachment of small carbodiimide (HN═C═NH) mainly generated by thiourea to the melamine matrix facilitates the formation of large-area conjugated structure, which fundamentally determines better charge carrier separation and transfer thereby enhancing the PEC performance. This work realizes the synthesis of well-polymerized g-CN films with improved PEC activity and offers a computational understanding for the nucleation and growth mechanism of the polycrystalline g-CN. © 2024 Wiley-VCH GmbH
Original languageEnglish
Article number2406430
Number of pages11
JournalSmall
Volume21
Issue number2
Online published16 Nov 2024
DOIs
Publication statusPublished - 15 Jan 2025

Funding

This work was financially supported by grants from the Research Grants Council of the Hong Kong SAR (11317122), the City University of Hong Kong (9231264, 7020044, and 7020096), and the Environment and Conservation Fund of Hong Kong SAR (43/2021). The authors also acknowledge the National Supercomputer Center in Shenzhen and the High-Performance Cluster Computing Centre in Hong Kong Baptist University for providing computational resources.

RGC Funding Information

  • RGC-funded

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