Plasmon resonance and enhanced near-field of anisotropic nanoparticle systems: unified analysis by factorization of light-excited dipole distribution

Literature Information

Publication Date 2021-12-21
DOI 10.1039/D1CP05304C
Impact Factor 3.676
Authors

Masafuyu Matsui, Hisao Nakamura


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Abstract

We develop a simple factorization scheme to analyze the mechanism of dipole–plasmon resonance, which is controlled by the particle shape or the gap distance of neighboring particles. The method focuses on extracting the motion of local induced dipoles based on the discrete dipole approximation (DDA) and is applied to silver nanoparticles. Our analysis clarifies that the particle shape effect is characterized quantitatively by the oscillation of a small number of collective dipoles when the inhomogeneity of the distribution of induced dipoles is weak. Our factorization scheme is also applicable to a system consisting of neighboring nanoparticles and explains the relationship between the gap distance of neighboring nanoparticles and near-field enhancement. Our theoretical approach is useful for understanding the optical response of anisotropic- and multi-nanoparticle systems in a unified manner, and it provides a convenient view for the design of optical materials of nanoparticles.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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