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Updated: May 31, 2025

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Colloidal Synthesis of Nanopatch Antennas for Applications in Plasmonics and Nanophotonics
Published on: May 28, 2016
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Mixed atomistic-implicit quantum/classical approach to molecular nanoplasmonics
Pablo Grobas Illobre1, Piero Lafiosca1, Luca Bonatti1
1Scuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.
The Journal of Chemical Physics
|January 22, 2025
Summary
This study introduces a multiscale quantum mechanical/classical model for optical properties of molecular-metal nanostructures. The new approach accurately simulates surface-enhanced Raman scattering, offering a powerful tool for nanoscale research.
Area of Science:
- Computational Chemistry
- Materials Science
- Nanotechnology
Background:
- Modeling optical properties of molecular-metal nanostructures is crucial for nanotechnology.
- Existing methods often struggle with the complexity of these systems.
Purpose of the Study:
- To develop and validate a multiscale quantum mechanical (QM)/classical approach for simulating optical properties of molecular-metal nanostructures.
- To extend this model for calculating surface-enhanced Raman scattering (SERS).
Main Methods:
- A combined atomistic-continuum model integrating the boundary element method (BEM) for the nanoparticle core and a fluctuating charge and dipole (ωFQFμ) approach for the surface.
- Numerical comparison with fully atomistic methods to assess accuracy.
- Extension to time-dependent density functional theory (TD-DFT) for SERS calculations.
Main Results:
- The QM/ωFQFμ-BEM model accurately reproduces optical properties of complex nanostructures.
- The continuum/core partition's quality was evaluated and found to be reliable.
- The method was successfully extended to compute SERS spectra.
Conclusions:
- The presented multiscale QM/classical approach provides an efficient and accurate method for studying optical properties of molecular-metal nanostructures.
- This model is a valuable tool for advancing research in plasmonics and SERS.
- The integration of QM/ωFQFμ-BEM offers a robust framework for future nanoscale simulations.
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