Analytical Modeling Based on Modified Effective Medium Theories for Optical Properties of Photovoltaic Material-Incorporated Plasmonic Nanoparticles

Arefinia, Zahra

doi:10.1007/s11468-020-01186-8

Cited by 6 publications

(12 citation statements)

References 109 publications

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“…The simplest way to obtain an effective medium replacing the mixture of nanoparticles inside a host medium, is based on the Maxwell–Garnett approach 34 . However, the suitability of this model is limited to random distribution of NPs in a dilute concentration so that the mutual interactions are negligible.…”

Section: Reflectance Calculation For 2d Metasurfacesmentioning

confidence: 99%

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Effective index model as a reliable tool for the design of nanostructured thin-film solar cells

Sánchez

Esteban

Elshorbagy

et al. 2023

Sci Rep

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Nanostructured anti-reflection coatings (ARC) are used to reduce the reflectivity of the front surface of solar cells. Computational electromagnetism helps to evaluate the spectral reflectivity of of this type of ARC using several approaches. They typically require large computational resources both in time and hardware elements (memory allocation, speed of processors, etc.). Long computational times may jeopardize optimization processes based on the iterative evaluation of a given merit function that depends on several parameters. Then, simplified analytic methods can speed up this evaluation with moderate computational resources. In this contribution we adapt an Effective Index Model (EIM) to the case of the design of an ARC made with nanoparticles (NP) embedded in a medium at the front surface of a thin-film silicon solar cell. Our approach modifies the discrete dipole approximation method to adapt it to the geometric and material properties of the NPs. The results obtained from the analytic method are compared with those evaluated through a Finite Element Method (FEM) for several cases involving variations in the size and geometry of the NP arrangement, obtaining reflectances that differ less than 10$$\%$$ % for the worst case analyzed but bieng about 100 times faster than the FEM.

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Section: Reflectance Calculation For 2d Metasurfacesmentioning

confidence: 99%

“…In such cases, the multipolar terms of the NP mutual interaction, substrate effects, and dynamic depolarization become significant and the dipole approximation begins to fail. This behavior limits the applicability of the analytic method to low coverage ratios 31 , 34 , or small NPs 34 …”

Section: Introductionmentioning

confidence: 99%

Effective index model as a reliable tool for the design of nanostructured thin-film solar cells

Sánchez

Esteban

Elshorbagy

et al. 2023

Sci Rep

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“…Another extension of the EMT was introduced by Hinsen and Felderhof based on inclusion of higher-order multipoles in the representation of the effective dielectric function, Clausius-Mossotti relation [120]. Recently, Arefinia demonstrated the capabilities of classical approaches using these analytic models to reproduce experimental absorption coefficient of Au and Ag nanoparticles in hybrid composites, that are mixtures of organic and inorganic materials where the latter are the metal clusters [121]. However, the limitation of nanoparticle sizes remains, although remarkable agreement between experimental and simulations of metallic nanoparticles (Au, Ag with average diameters of about 20 to 40 nm with spherical shapes) were obtained.…”

Section: Classical Approachesmentioning

confidence: 99%

Modeling of plasmonic properties of nanostructures for next generation solar cells and beyond

Manzhos

Giorgi

Lüder

et al. 2021

Advances in Physics: X

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Plasmonic particles and nanostructures are widely used in photovoltaic and photonics. Surface plasmons were found to enhance different types of solar cells including plasmonic DSSCs, plasmonic solid semiconductor solar cells, plasmonic organic solar cells, and plasmonic perovskite solar cell. Size, composition, and shape of plasmonic nanoparticles as well as nanometer-distance control between particles are key design factors of plasmonic nanostructures. Modeling is rapidly gaining in importance for mechanistic understanding and rational design of plasmonic nanostructures. We review the modeling approaches used to model plasmon resonance features of nanostructures, from classical approaches that can routinely handle most particle sizes used in solar cells to approaches beyond classical electrodynamics such as ab initio approaches based on time-dependent density functional theory (TD-DFT). We highlight recently emerging approaches which have the potential to significantly enhance modeling capabilities in the coming years, in particular, by allowing atomistic (ab initio) modeling at realistic length scales, i.e. of particle sizes beyond 10 nm which are of most interest to plasmonic solar cells but remain problematic with traditional DFT-based techniques, such as density functional tight binding (DFTB) based approaches, time-dependent orbital-free DFT, and machine learning-based approaches, as well as many-body perturbation theory which is expected to gain usage with advances in computing power.

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“…The MGMT gives the complex dielectric function of active layer:NPs composite in terms of volume fraction of NPs in the active layer ( f ), mean radius of NPs ( R̅ ), and frequency- and size-dependent Mie polarizability ( α Mie ( ω , R̅ )) as 90 , 104 : where λ is the wavelength of the radiation and M e (1) ( ω , R̅ ) is the first electric Mie coefficient expressed by: where ψ 1 and ζ 1 are the first order of Riccati-Bessel functions of the first and second kind, respectively, and m ω and x ω are defined as: where ( ω , R̅ ) is the size-dependent dielectric function of NPs. It should be noted that the effect of intrinsic confinement is considered in the MGMT through the implementation of , instead of using the dielectric function of bulk metal ( ), in the M e (1) ( ω , R̅ ).…”

Section: Semi-analytical Optoelectronic Modelingmentioning

confidence: 99%

“…The reemitting of incident light in different directions inside the active layer leads to an increase in the optical path length 20 . The effect of enhanced optical path length by the specific angular spread of scattered light can be expressed by the Percus–Yevick correction term 89 , 90 . This term is added to the , Eq.…”

Section: Semi-analytical Optoelectronic Modelingmentioning

confidence: 99%

Novel semi-analytical optoelectronic modeling based on homogenization theory for realistic plasmonic polymer solar cells

Arefinia

Samajdar

2021

Sci Rep

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Numerical-based simulations of plasmonic polymer solar cells (PSCs) incorporating a disordered array of non-uniform sized plasmonic nanoparticles (NPs) impose a prohibitively long-time and complex computational demand. To surmount this limitation, we present a novel semi-analytical modeling, which dramatically reduces computational time and resource consumption and yet is acceptably accurate. For this purpose, the optical modeling of active layer-incorporated plasmonic metal NPs, which is described by a homogenization theory based on a modified Maxwell–Garnett-Mie theory, is inputted in the electrical modeling based on the coupled equations of Poisson, continuity, and drift–diffusion. Besides, our modeling considers the effects of absorption in the non-active layers, interference induced by electrodes, and scattered light escaping from the PSC. The modeling results satisfactorily reproduce a series of experimental data for photovoltaic parameters of plasmonic PSCs, demonstrating the validity of our modeling approach. According to this, we implement the semi-analytical modeling to propose a new high-efficiency plasmonic PSC based on the PM6:Y6 PSC, having the highest reported power conversion efficiency (PCE) to date. The results show that the incorporation of plasmonic NPs into PM6:Y6 active layer leads to the PCE over 18%.

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Analytical Modeling Based on Modified Effective Medium Theories for Optical Properties of Photovoltaic Material-Incorporated Plasmonic Nanoparticles

Cited by 6 publications

References 109 publications

Effective index model as a reliable tool for the design of nanostructured thin-film solar cells

Effective index model as a reliable tool for the design of nanostructured thin-film solar cells

Modeling of plasmonic properties of nanostructures for next generation solar cells and beyond

Novel semi-analytical optoelectronic modeling based on homogenization theory for realistic plasmonic polymer solar cells

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