Ta 3 N 5 Nanosheets Derived from TaS 2 as Efficient Photocatalysts for Water Oxidation

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Authors: Faze Wang, Swapnil S. Karade, Junie Jhon M. Vequizo, Mamiko Nakabayashi, Takashi Hisatomi, Kazunari Domen
Cited by: 3
References: 38

Abstract

The morphology and crystalline structure of semiconductor materials both play important roles in determining the photocatalytic activity of such materials. In this regard, tantalum nitride (Ta 3 N 5 ) shows promise as a visible-light-responsive photocatalyst for solar-driven water splitting. Even so, the performance of this material is limited by its bulk morphology and by high defect densities and inefficient charge transport. The present work synthesized single-crystalline Ta 3 N 5 nanosheets having reduced defect concentrations and an increased specific surface area via the direct nitridation of two-dimensional TaS 2 nanosheets. The Ta 3 N 5 nanosheets had a thickness of approximately 30 nm with well-defined exposed facets and a uniform single-crystalline structure, and so led to a shorter charge-carrier diffusion length along with efficient charge separation and transport. When modified with IrO x as a cocatalyst, these nanosheets provided an apparent quantum yield of 32.4% at 420 nm during photocatalytic oxygen evolution with sacrificial electron acceptors, outperforming Ta 3 N 5 synthesized from Ta 2 O 5 . This material was also integrated into Z-scheme photocatalyst sheets together with La 5 Ti 2 Cu 0.9 Ag 0.1 O 7 S 5 as the hydrogen evolution photocatalyst and carbon nanotubes as the electron mediator. These sheets enabled overall water splitting with stoichiometric H 2 and O 2 evolution in response to visible light, with a light absorption range extended to approximately 600 nm. This work underscores the critical roles of precursor selection and nanoscale morphological control in the development of photocatalysts with minimal defects and provides new insights expected to advance the field of solar-to-chemical energy conversion.

Fields of Study & Subjects

Advanced Photocatalysis Techniques 2D Materials and Applications Machine Learning in Materials Science

Publication details

Journal / source
Journal of the American Chemical Society
Publisher
American Chemical Society (ACS)
Volume
148
Issue
5
Pages
5316–5324
Publication date
2 February 2026
Language
EN