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Plasmon response evaluation based on image-derived arbitrary nanostructures.

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This study introduces a Finite Element Method (FEM) approach to simulate complex 3D plasmonic substrates, revealing new insights into light-matter interactions for enhanced spectroscopy applications.

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Area of Science:

  • Plasmonics and Nanophotonics
  • Computational Electromagnetics
  • Surface Science

Background:

  • Simulating realistic 3D plasmonic substrates with random particle shapes, sizes, and surface roughness is computationally challenging.
  • Existing methods struggle to accurately model the optical response of complex, disordered plasmonic nanostructures.
  • Understanding plasmonic behavior is crucial for applications like surface-enhanced Raman spectroscopy (SERS) and tip-enhanced Raman spectroscopy (TERS).

Purpose of the Study:

  • To develop and validate a Finite Element Method (FEM) based methodology for simulating the optical response of realistic 3D plasmonic substrates.
  • To investigate the contributions of interparticle hybridized modes (sub-radiant and super-radiant) in arbitrarily shaped plasmonic nanoparticles.
  • To analyze the impact of nanoscale surface roughness on plasmon resonance and field enhancement.

Main Methods:

  • Utilized a Finite Element Method (FEM) for accurate simulation of electromagnetic fields.
  • Employed parametrized scanning electron microscopy (SEM) images of SERS substrates and TERS probes.
  • Performed both far-field and near-field optical response calculations.

Main Results:

  • FEM simulations accurately reproduced experimental dark-field spectra.
  • Revealed interparticle hybridized modes (sub-radiant, super-radiant) and their role in Fano resonances in arbitrary structures.
  • Demonstrated that nanoscale roughness significantly impacts plasmon band position, while hybridization affects field enhancement amplitude at TERS tip apex.

Conclusions:

  • The developed FEM methodology enables detailed simulation of large-scale, realistic 3D plasmonic systems, overcoming previous computational limitations.
  • The findings provide a deeper understanding of light-matter interactions in complex plasmonic nanostructures, crucial for advanced spectroscopic techniques.
  • This approach is essential for designing and optimizing plasmonic substrates and probes with tailored optical properties.