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A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
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Projected Dipole Model for Quantum Plasmonics.

Wei Yan1,2, Martijn Wubs1,2, N Asger Mortensen1,2,3

  • 1Department of Photonics Engineering, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.

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This study introduces an effective model for quantum plasmonics, enabling accurate simulations of larger metallic nanostructures. The method captures quantum effects like nonlocal response and finite work function with high fidelity.

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Area of Science:

  • Condensed matter physics
  • Quantum chemistry
  • Nanophotonics

Background:

  • Ab initio studies of quantum plasmonics are limited to very small nanostructures.
  • Experimentally relevant metallic nanostructures are often too large for accurate ab initio calculations.

Purpose of the Study:

  • To develop an effective, computationally efficient model for quantum plasmonics.
  • To enable accurate simulation of large metallic nanostructures with quantum properties.

Main Methods:

  • An effective description using an infinitely thin dipole layer on the metal surface.
  • Mapping nonlocal polarizability from 1D quantum calculations (e.g., time-dependent density-functional theory).
  • Application to 2D and 3D systems of any size tractable by classical electrodynamics.

Main Results:

  • The model accurately captures quantum plasmonic aspects, including nonlocal response and finite work function.
  • Quantum corrections to plasmon hybridization were observed in mesoscopic dimers with subnanometric gaps.

Conclusions:

  • The proposed effective model bridges the gap between ab initio accuracy and computational feasibility for quantum plasmonics.
  • It allows for the study of quantum effects in experimentally relevant, larger nanostructures.