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Hot Carrier Injection-Driven Nano-Interface Assembly for Hydrogen Generation.

Jia-Zhen Zheng1, Amit Kumar Sharma1, Yen-Hsun Su1

  • 1Department of Materials Science and Engineering, National Cheng Kung University, No. 1, Daxue Road, East District, Tainan City 701, Taiwan.

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|March 11, 2026
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Summary
This summary is machine-generated.

This study integrates plasmonic nanoparticles with FeVO4 to enhance solar hydrogen generation. The optimized FeVO4-plasmonic nanoparticle system improves charge separation and hydrogen evolution efficiency for water splitting.

Keywords:
FDTDFeVO4generative reinforcement machine learninghot electron transferhydrogen generationphotoelectrochemical cellsurface plasmon resonance

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Area of Science:

  • Materials Science
  • Photocatalysis
  • Renewable Energy

Background:

  • Solar water splitting for hydrogen generation is crucial for renewable energy.
  • FeVO4 photocatalysts face challenges like limited light absorption and instability.
  • Hot electron transfer (HET) at plasmonic-semiconductor interfaces offers a route to improve photocatalysis.

Purpose of the Study:

  • To develop an optimized FeVO4-plasmonic nanoparticle (PNP) composite for enhanced solar water splitting.
  • To investigate the influence of PNP size, shape, and material on photocatalytic efficiency.
  • To establish a machine learning model for predicting optimal parameters for photoelectrochemical applications.

Main Methods:

  • Fabrication of one-dimensional FeVO4 integrated with various plasmonic nanoparticles (Au, Au-urchin, Ag, Au+Ag).
  • Finite-difference time-domain (FDTD) simulations to analyze electromagnetic field distribution.
  • Experimental characterization of photocatalytic activity and interfacial charge dynamics under visible light.
  • Development of a generative reinforcement learning (GRL) model for parameter optimization.

Main Results:

  • The FeVO4-PNP composite demonstrated improved charge carrier dynamics for hydrogen generation.
  • Different PNPs exhibited distinct interfacial charge transfer mechanisms (HET, resonance energy transfer).
  • Voltage-dependent dynamics were observed, influencing charge separation and hydrogen evolution.
  • The GRL model successfully predicted optimal parameters for band gap tuning and efficiency.

Conclusions:

  • The integrated FeVO4-PNP system effectively enhances solar-to-hydrogen conversion efficiency.
  • Understanding interfacial dynamics is key to designing efficient plasmonic-semiconductor photocatalysts.
  • This work provides a foundation for developing advanced materials for photoelectrochemical applications.