Optical Properties of Metallic Nanoparticles

Trügler, Andreas

doi:10.1007/978-3-319-25074-8

Cited by 75 publications

(64 citation statements)

References 191 publications

(418 reference statements)

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“…5. it was reported828384858687 that, for the very small separation between a quantum emitter and a metal nanoparticle, the spectral density of the surface electromagnetic fields of the nanoparticle becomes Lorentzian. This indicates that the emitter-nanoparticle system can form an effective cavity quantum electrodynamics (QED) system.…”

Section: Resultsmentioning

confidence: 99%

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Scattering of nanowire surface plasmons coupled to quantum dots with azimuthal angle difference

Kuo

Chen

2016

Sci Rep

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Coherent scatterings of surface plasmons coupled to quantun dots have attracted great attention in plasmonics. Recently, an experiment has shown that the quantum dots located nearby a nanowire can be separated not only in distance, but also an angle ϕ along the cylindrical direction. Here, by using the real-space Hamiltonian and the transfer matrix method, we analytically obtain the transmission/reflection spectra of nanowire surface plasmons coupled to quantum dots with an azimuthal angle difference. We find that the scattering spectra can show completely different features due to different positions and azimuthal angles of the quantum dots. When additionally coupling a cavity to the dots, we obtain the Fano-like line shape in the transmission and reflection spectra due to the interference between the localized and delocalized modes.

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Section: Resultsmentioning

confidence: 99%

“…We further study the scattering spectra of the Hybrid Quantum System (HQS) consisting of QDs and a metal nanoparticle798081. It can be viewed as a cavity82838485 coupled to the NW-QD system. We find that the spectra reveal sharp and asymmetric response line shapes in the hybrid configuration.…”

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confidence: 99%

Scattering of nanowire surface plasmons coupled to quantum dots with azimuthal angle difference

Kuo

Chen

2016

Sci Rep

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“…For the Rayleigh scattering model, when the size of the particle (spherical or non-spherical) is much smaller than the wavelength of the incident radiation, the number of wavelength in the vacuum is approximately zero and the retardation effect is ignored [13] so that the background scattering is negligible. If the incident light is regarded as a plane wave and the particle is regarded as a homogeneous, isotropic sphere, the model of the interaction between the electromagnetic wave and the particle can be simplified to a dipole model in a uniform electrostatic field [14].…”

Section: B Classification Of Theoretical Modelsmentioning

confidence: 99%

Investigation on optical theoretical models of SiO2 nanofluids

Huang¹,

Bai²,

Luo³

2018

Proceedings of the International Symposium on Mechanical Engineering and Material Science (ISMEMS 2017)

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Abstract-Photovoltaic and photovoltaic heat technology can be coupled by nanofluid-based solar direct absorption thermal collector. It is an important means to improve the efficiency of comprehensive utilization of solar energy. Nanofluids optical theory plays an important role in the development of new photovoltaic-thermal experimental platform. In addition, study on optical characteristics of nanofluids is still in the initial stage. As a result, it is of great significance for the study of the law and mechanism of it. In this paper, the Rayleigh scattering model and the Mie scattering model are used to analyze the critical optical characteristics --transmittances of the nanofluids. Furthermore, the consistency between different theoretical models and experimental datum is studied by contrast verification between experiments and theory calculation. The conclusion shows that Mie scattering model performs better than Rayleigh scattering model and expresses a better applicability in the development of photovoltaic thermal experimental platform. This theoretical study on optical characteristics of nanofluids is expected to prompt on the application of nanotechnology in the field of solar energy. It is also expected to improve the efficiency of comprehensive utilization of solar energy.

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“…This is a salient difference between PAME, and numerical approaches like the boundary element method(BEM), discrete dipole approximation(DDA) and finite-difference timedomain(FDTD): PAME relies on mixing theories, and hence is constrained by any underlying assumptions of the mixing model. For a more in-depth discussion on nanoparticle modeling, see Myroshnychenko et al (2008) and Trügler (2011).…”

Section: Nanomaterialsmentioning

confidence: 99%

PAME: Plasmonic Assay Modeling Environment

Hughes

Reeves

Liu

2015

Preprint

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Plasmonic assays are an important class of optical sensors that measure biomolecular interactions in real-time without the need for labeling agents, making them especially wellsuited for clinical applications. Through the incorporation of nanoparticles and fiberoptics, these sensing systems have been successfully miniaturized and show great promise for insitu probing and implantable devices, yet it remains challenging to derive meaningful, quantitative information from plasmonic responses. This is in part due to a lack of dedicated modeling tools, and therefore we introduce PAME, an open-source Python application for modeling plasmonic systems of bulk and nanoparticle-embedded metallic films. PAME combines aspects of thin-film solvers, nanomaterials and fiber-optics into an intuitive graphical interface. Some of PAME's features include a simulation mode, a database of hundreds of materials, and an object-oriented framework for designing complex nanomaterials, such as a gold nanoparticles encased in a protein shell. An overview of PAME's theory and design is presented, followed by example simulations of a ABSTRACTPlasmonic assays are an important class of optical sensors that measure biomolecular interactions in real-time without the need for labeling agents, making them especially well-suited for clinical applications. Through the incorporation of nanoparticles and fiberoptics, these sensing systems have been successfully miniaturized and show great promise for in-situ probing and implantable devices, yet it remains challenging to derive meaningful, quantitative information from plasmonic responses. This is in part due to a lack of dedicated modeling tools, and therefore we introduce PAME, an open-source Python application for modeling plasmonic systems of bulk and nanoparticle-embedded metallic films. PAME combines aspects of thin-film solvers, nanomaterials and fiber-optics into an intuitive graphical interface. Some of PAME's features include a simulation mode, a database of hundreds of materials, and an object-oriented framework for designing complex nanomaterials, such as a gold nanoparticles encased in a protein shell. An overview of PAME's theory and design is presented, followed by example simulations of a fiberoptic refractometer, as well as protein binding to a multiplexed sensor composed of a mixed layer of gold and silver colloids. These results provide new insights into observed responses in reflectance biosensors.

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Optical Properties of Metallic Nanoparticles

Abstract: G 2 Second order autocorrelation function 93 G 3 Third order autocorrelation function 93 Γ Homogeneous linewidth (FWHM) of a spectral res-

Cited by 75 publications

References 191 publications

Scattering of nanowire surface plasmons coupled to quantum dots with azimuthal angle difference

Scattering of nanowire surface plasmons coupled to quantum dots with azimuthal angle difference

Investigation on optical theoretical models of SiO2 nanofluids

PAME: Plasmonic Assay Modeling Environment

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