Unraveling Interfacial Electron Transfer Dynamics in Noble Metal Cocatalyst Modified Ferroelectric Photocatalysts via Nonadiabatic Molecular Dynamics Simulations

Abstract

Rapid interfacial electron transfer (IET) from light-absorbing semiconductors to metal cocatalyst in typical photocatalysts is essential to enable high-efficiency solar energy conversion. However, the underlying dynamics of this process have long remained poorly understood, posing challenges for the rational construction of high-performance photocatalysts. In this work, taking ferroelectric Bi3TiNbO9 (BTNO) and noble metals (NMs, Rh, Pd, and Pt) as light absorber and cocatalyst, respectively, three photocatalysts (BTNO/Rh, BTNO/Pd, and BTNO/Pt) were constructed, and their IET behaviors were systematically investigated by nonadiabatic molecular dynamics (NAMD) simulations. Consequently, BTNO/Rh demonstrates the highest IET efficiency of the three photocatalysts, followed by BTNO/Pt and then BTNO/Pd. By extending the study to additional NM cases (Ir, PdPt, Pt3Ru, and Ru3Ir), an exponential decay relationship was established between the IET time and the average density of states within the energy range from the conduction band minimum of BTNO to the Fermi level of photocatalytic system. This correlation can be generalized to other photocatalysts, such as Bi4Ti3O12/NM and SrTiO3/NM. Therefore, the average density of states represents a robust descriptor for the prediction of IET efficiency in the photocatalysts, which can be qualitatively estimated by quickly examining the electronic structures of candidate cocatalysts. Overall, the insights into the IET dynamics gained here provide crucial guidance for developing excellent photocatalysts.

Supplementary files

Article information

Article type
Paper
Submitted
03 Apr 2026
Accepted
18 May 2026
First published
18 May 2026

J. Mater. Chem. A, 2026, Accepted Manuscript

Unraveling Interfacial Electron Transfer Dynamics in Noble Metal Cocatalyst Modified Ferroelectric Photocatalysts via Nonadiabatic Molecular Dynamics Simulations

J. Liu, L. Yin, L. Wang and G. Liu, J. Mater. Chem. A, 2026, Accepted Manuscript , DOI: 10.1039/D6TA02829B

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