Modeling molecular effects on plasmon transport: Silver nanoparticles with tartrazine

This review provides a brief introduction to the physics of coupled exciton-plasmon systems, the theoretical description and experimental manifestation of such phenomena, followed by an account of the state-of-the-art methodology for the numerical simulations of such phenomena and supplemented by a number of FORTRAN codes, by which the interested reader can introduce himself/herself to the practice of such simulations. Applications to CW light scattering as well as transient response and relaxation are described. Particular attention is given to so-called strong coupling limit, where the hybrid exciton-plasmon nature of the system response is strongly expressed. While traditional descriptions of such phenomena usually rely on analysis of the electromagnetic response of inhomogeneous dielectric environments that individually support plasmon and exciton excitations, here we explore also the consequences of a more detailed description of the molecular environment in terms of its quantum density matrix (applied in a mean field approximation level). Such a description makes it possible to account for characteristics that cannot be described by the dielectric response model: the effects of dephasing on the molecular response on one hand, and nonlinear response on the other. It also highlights the still missing important ingredients in the numerical approach, in particular its limitation to a classical description of the radiation field and its reliance on a mean field description of the many-body molecular system. We end our review with an outlook to the near future, where these limitations will be addressed and new novel applications of the numerical approach will be pursued.

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“…Refs. [82][83][84][85] and be described by the optical Bloch equations (Chapter 10 in Ref. [86]) driven by the local electromagnetic field.…”

Section: Dielectric Response Modelsmentioning

confidence: 99%

“…By the analogy to EIT this effect was named Dipole-Induced Electromagnetic Transparency (DIET). DIET results in slow light, [307] although the group velocity estimated for interacting 85 Rb atoms reaches as low as 10 m/s, which is relatively high compared to EIT results.…”

Section: Applicationsmentioning

confidence: 99%

Optics of exciton-plasmon nanomaterials

Sukharev

Nitzan

2017

J. Phys.: Condens. Matter

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“…Usually, a deep understanding of the theoretical aspects of an equation may gives rise to appropriate numerics for their solutions. Due to the development of nanotechnology, the coupling of electromagnetic and quantum fields and their numerical simulations have been an active research topic in nanodevices, 10,[16][17][18][19] in molecular nanopolaritonics [11][12][13] and in laser-molecules interactions. 14,15 However, in these existing method, the EM fields are still described by the Maxwell equations of field type (1), not the potential type (3), and they are usually solved by the traditional finite difference time domain (FDTD) method 10,[12][13][14][15]19 or transmission line matrix (TLM) method.…”

Section: Maxwell-schrödinger Equationsmentioning

confidence: 99%

Simulation of Maxwell-Dirac equations in graphene nanostructures

Zhang

2014

SPIE Proceedings

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In this paper, for the first time, we derive the appropriate form of Maxwell-Dirac equations for simulation of the coupling transport of electromagnetic fields and carriers in graphene nanostructures, and propose a time splitting spectral method for the numerical solution of this multiphysics problem.In this time splitting spectral method, we split each time step into three substeps. In each substep, we split the linear and nonlinear parts of the complicated nonlinear coupling Maxwell-Dirac system, then iteratively solving each simple part by linearizing the nonlinear part. The time derivatives are discretized by finite difference method with second order accuracy schemes. The spatial differential operators are approximated by spectral differentiation matrices. The proposed numerical method is validated by numerical examples that simulate the propagation of electromagnetic wave in graphene nanowaveguides.

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“…7,8 Theoretically, there has also been much effort for understanding electrodynamics of metallic nanostructures [9][10][11][12][13] and the mechanism of their dynamic coupling to nearby molecules [14][15][16][17][18][19][20] at sub-wavelength scales.…”

Section: Introductionmentioning

confidence: 99%

Near-field for electrodynamics at sub-wavelength scales: Generalizing to an arbitrary number of dielectrics

Gao

Neuhauser

2012

The Journal of Chemical Physics

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We extend the recently developed near-field (NF) method to include an arbitrary number of dielectrics. NF assumes that the dipoles and fields respond instantaneously to the density, without retardation. The central task in NF is the solution of the Poisson equation for every time step, which is here done by a conjugate gradient method which handles any dielectric distribution. The optical response of any metal-dielectric system can now be studied very efficiently in the near field region. The improved NF method is first applied to simple benchmark systems: a gold nanoparticle in vacuum and embedded in silica. The surface plasmons in these systems and their dependence on the dielectrics are reproduced in the new NF approach. As a further application, we study a silver nanoparticle-based structure for the optical detection of a "lipid" (i.e., dielectric) layer in water, where the layer is wrapping around part of the metallic nanostructure. We show the ~0.1-0.15 eV shift in the spectrum due to the presence of the layer, for both spherical and non-spherical (sphere+rod) systems with various polarizations.

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Modeling molecular effects on plasmon transport: Silver nanoparticles with tartrazine

Cited by 19 publications

References 18 publications

Optics of exciton-plasmon nanomaterials

Optics of exciton-plasmon nanomaterials

Simulation of Maxwell-Dirac equations in graphene nanostructures

Near-field for electrodynamics at sub-wavelength scales: Generalizing to an arbitrary number of dielectrics

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