Discrete-dipole approximation with surface interaction: Computational toolbox for MATLAB

Loke, Vincent L. Y.; Mengüç, M. Pınar; Nieminen, Timo A.

doi:10.1016/j.jqsrt.2011.03.012

Cited by 89 publications

(49 citation statements)

References 33 publications

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“…The knowledge of the absorption efficiency of the NP is necessary for such kind of problem. Diverse numerical electromagnetic methods are suitable * houssem.kallel@univ-poitiers.fr; houssem.kallel@yahoo.fr † remi.carminati@espci.fr ‡ karl.joulain@univ-poitiers.fr for the computation of the optical response of a single NP in the presence of a substrate such as the Discrete Dipole Approximation with Surface Interaction (DDA-SI) [19][20][21], the Boundary Element Method (BEM) [22], and the generalized Mie theory (T-matrix method or exact multipole expansion method) [23][24][25][26][27]. Approximate methods, with considerably less computational resource requirements, can also be used, for example, the image dipole approach [28] and the effective (or dressed) polarizability approach [16,29].…”

Section: Introductionmentioning

confidence: 99%

Temperature of a nanoparticle above a substrate under radiative heating and cooling

Kallel¹,

Carminati²,

Joulain³

2017

Phys. Rev. B

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Controlling the temperature in architectures involving nanoparticles and substrates is a key issue for applications involving micro and nanoscale heat transfer. We study the thermal behavior of a single nanoparticle interacting with a flat substrate under external monochromatic illumination, and with thermal radiation as the unique heat loss channel. We develop a model to compute the temperature of the nanoparticle, based on an effective dipole-polarizability approach. Using numerical simulations, we thoroughly investigate the impacts of various parameters affecting the nanoparticle temperature, such as the nanoparticle-to-substrate gap distance, the incident light wavelength and polarization, or the material resonances. This study provides a tool for the thermal characterization and design of micro or nanoscale systems coupling substrates with nanoparticles or optical antennas.

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Section: Introductionmentioning

confidence: 99%

Temperature of a nanoparticle above a substrate under radiative heating and cooling

Kallel¹,

Carminati²,

Joulain³

2017

Phys. Rev. B

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“…where P i is the dipole moment of the ith element and A ij with i = j is an interaction matrix with 3N 9 3N matrixes as elements described by following equation (Loke et al 2011):…”

Section: Discrete-dipole Approximation (Dda)mentioning

confidence: 99%

Binary control of plasmonic nano rods to design an optical switch

2015

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An efficient binary optimization method named binary particle swarm optimization (BPSO) algorithm was used to optimize an array of plasmonic nano-rods in order to design an optical switch. In the proposed switch, the optical switch has been excited by two monochromatic incident plan-waves with the same frequency and two angles of incident h = 0 and h = 90. When only the signal with h = 0 is applied, the incident wave is transmitted and when both signals are applied to the switch simultaneously, the coherent perfect absorption occurs and the two incident waves are suppressed. Therefore, the signal with h = 90 acts as control signal. BPSO, a swarm of birds including a matrix with binary entries responsible for controlling nano-rods in the array, shows the presence with symbol of ('1') and the absence with ('0').

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“…In this work, the Thermal Discrete Dipole Approximation (T-DDA) is proposed for simulating near-field heat transfer between 3D arbitrarily-shaped objects. The Discrete Dipole Approximation (DDA), extensively used for predicting electromagnetic wave scattering by particles, is based on discretizing objects into cubical sub-volumes behaving as electric point dipoles [62][63][64][65][66]. The T-DDA follows the same general procedure as the DDA, except that the incident field is induced by thermal fluctuations of dipoles instead of being produced by an external illumination.…”

Section: Introductionmentioning

confidence: 99%

The Thermal Discrete Dipole Approximation (T-DDA) for near-field radiative heat transfer simulations in three-dimensional arbitrary geometries

Edalatpour¹,

Francoeur²

2014

Journal of Quantitative Spectroscopy and Radiative Transfer

101

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A novel numerical method called the Thermal Discrete Dipole Approximation (T-DDA) isproposed for modeling near-field radiative heat transfer in three-dimensional arbitrary geometries. The T-DDA is conceptually similar to the Discrete Dipole Approximation, except that the incident field originates from thermal oscillations of dipoles. The T-DDA is described in details in the paper, and the method is tested against exact results of radiative conductance between two spheres separated by a sub-wavelength vacuum gap. For all cases considered, the results calculated from the T-DDA are in good agreement with those from the analytical solution. When considering frequency-independent dielectric functions, it is observed that the number of sub-volumes required for convergence increases as the sphere permittivity increases.Additionally, simulations performed for two silica spheres of 0.5 µm-diameter show that the resonant modes are predicted accurately via the T-DDA. For separation gaps of 0.5 µm and 0.2 µm, the relative differences between the T-DDA and the exact results are 0.35% and 6.4%, respectively, when 552 sub-volumes are used to discretize a sphere. This work suggests that the T-DDA is a robust numerical approach that can be employed for solving a wide variety of near-field thermal radiation problems in three-dimensional geometries.

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Discrete-dipole approximation with surface interaction: Computational toolbox for MATLAB

Cited by 89 publications

References 33 publications

Temperature of a nanoparticle above a substrate under radiative heating and cooling

Temperature of a nanoparticle above a substrate under radiative heating and cooling

Binary control of plasmonic nano rods to design an optical switch

The Thermal Discrete Dipole Approximation (T-DDA) for near-field radiative heat transfer simulations in three-dimensional arbitrary geometries

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