Ultrafast Charge Transfer Dynamics in a Plasmonic Photocatalyst Studied by Femtosecond Time-Resolved X-ray Photoelectron Spectroscopy
ORAL
Abstract
Heterogeneous interfaces between metal nanoparticles (NPs) and transition metal semiconductors (SCs) attract significant attention due to their potential to provide routes to renewable, carbon-free energy production and storage through processes such as photocatalytic hydrogen generation from water. A particularly intensely studied model system for photochemical water splitting consists of plasmonically active, spherical gold nanoparticles (AuNPs) attached to nanocrystalline TiO2 substrates. Despite significant efforts, the overall efficiencies of plasmonic light harvesting systems generally remain rather low, requiring a deeper understanding of the fundamental dynamics underlying their function. Currently, charge transfer (CT) between metal NPs and semiconductors (SC) is commonly described by either plasmon-induced hot-electron transfer (PHET) or plasmon-induced metal-to-semiconductor interfacial charge transfer transitions (PICTT). To gain a deeper understanding of these competing processes, we have measured the ultrafast interfacial charge injection and recombination dynamics for AuNP sensitized TiO2 at the FLASH Free Electron Laser in Hamburg under UHV and water exposed conditions via femtosecond Time-resolved X-ray Photoelectron Spectroscopy (TRXPS). The results will be discussed within a kinetic model taking into account various CT and relaxation channels. The model is complemented by high-level ab-initio calculations based on constrained density functional theory.
*This work was supported by the Atomic, Molecular, and Optical Sciences program of the U.S. Department of Energy, Office of Basic Energy Sciences, Chemical Sciences, Geosciences and Biosciences Division, through Contract No. DE-AC02–05CH11231.We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. F.R. and M.S. acknowledges financial support from DESY. This work was supported by the BMBF (Grant No. 05K22OF2 within ErUM-Pro).
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Presenters
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Zachery Donnellan
- Lawrence Berkeley National Laboratory & UC Berkeley