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Rapid Determination of the Optimum Thickness of Doped TiO 2 Nanotubes Layer by Local Photoelectrochemistry and Operando Properties Extraction by Data Modeling
Sébastien Vergne, Florian Gelb, Valérie Keller, Thomas Cottineau

Rapid Determination of the Optimum Thickness of Doped TiO 2 Nanotubes Layer by Local Photoelectrochemistry and Operando Properties Extraction by Data Modeling

Science & Mathematics Published 2024 Verification Pending

Overview & Synopsis

Herein, the optimal thickness of TiO2, M‐doped, N‐doped, and (M:N) codoped TiO 2 (with M = Nb or Ta) nanotubes (NTs) for photoelectrochemical (PEC) water splitting is determined, in one step through local PEC analysis of electrodes with variable thickness of the photoactive material. A simple anodization method allows the growth, on a single electrode, of aligned doped TiO2 NTs (TiO2‐NTs) whose length gradually changes from 0 to 15 μm. The external quantum efficiency as a function of the NTs film thickness is measured using a small beam of UV or visible light to scan the surface and locally trigger the oxygen evolution reaction. The results provide the optimal NT layer thickness for each type of doped TiO2‐NTs and demonstrate that if the (M:N) codoped TiO2‐NTs have the best activity in the visible region, the optimal layer thickness is reduced compared to TiO2 or M:doped TiO2‐NTs. Additionally, by fitting the data with a model that incorporates charge carrier transfer and light absorption mechanisms in the film, it becomes possible to evaluate in operando the interfacial charge transfer, absorption coefficient, or majority carrier mean path which are important properties of semiconducting materials for PEC applications.

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Document Information

Document Title Rapid Determination of the Optimum Thickness of Doped TiO 2 Nanotubes Layer by Local Photoelectrochemistry and Operando Properties Extraction by Data Modeling
Author / Organization Sébastien Vergne, Florian Gelb, Valérie Keller, Thomas Cottineau
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2024
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-24875
Original Source Link Visit Source Page on hal.science »