Minimization of field enhancement in multilayer capacitors

Deken, B.; Pekarek, Steve; Doğan, Fatih

doi:10.1016/j.commatsci.2005.10.004

Cited by 14 publications

(10 citation statements)

References 1 publication

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“…This results in individuals who are better suited to the environment tending to have more children and higher fitness as the evolution process proceeds, just as in natural adaptation. GAs are particularly suited for search in very large or unbounded sample spaces, and it has proven useful in many different fields [27][28][29][30]. In the case of light coupling and trapping in solar cells, the complexity associated with the wave nature of light and broad solar spectrum results in a similarly large sample space for possible grating structures for optimization of solar cell efficiency.…”

Section: Genetic Algorithm Proceduresmentioning

confidence: 99%

Optimization of random diffraction gratings in thin-film solar cells using genetic algorithms

Lin

Phillips

2008

Solar Energy Materials and Solar Cells

104

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Section: Genetic Algorithm Proceduresmentioning

confidence: 99%

Optimization of random diffraction gratings in thin-film solar cells using genetic algorithms

Lin

Phillips

2008

Solar Energy Materials and Solar Cells

104

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“…Genetic algorithm is chosen as a global optimization algorithm due to its success in different fields of science and engineering, [17][18][19][20] and the advantage that it does not require initial guesses. The material parameters are from Rsoft material database 21 and the refractive index for dielectric NPs is n r ¼ 3.5 unless otherwise specified.…”

Section: Problem Set-up and Enhanced Energy Transfer For Nano-parmentioning

confidence: 99%

An ultra-efficient energy transfer beyond plasmonic light scattering

Zhong

Lin

2014

Journal of Applied Physics

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The energy transfer between nano-particles is of great importance for, solar cells, light-emitting diodes, nano-particle waveguides, and other photonic devices. This study shows through novel design and algorithm optimization, the energy transfer efficiency between plasmonic and dielectric nano-particles can be greatly improved. Using versatile designs including core-shell wrapping, supercells and dielectric mediated plasmonic scattering, 0.05 dB/μm attenuation can be achieved, which is 20-fold reduction over the baseline plasmonic nano-particle chain, and 8-fold reduction over the baseline dielectric nano-particle chain. In addition, it is also found that the dielectric nano-particle chains can actually be more efficient than the plasmonic ones, at their respective optimized geometry. The underlying physics is that although plasmonic nano-particles provide stronger coupling and field emission, the effect of plasmonic absorption loss is actually more dominant resulting in high attenuation. Finally, the group velocity for all design schemes proposed in this work is shown to be maintained above 0.4c, and it is found that the geometry optimization for transmission also boosts the group velocity.

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“…A genetic algorithm is chosen as a global optimization algorithm due to its success in different fields of science and engineering [26][27][28][29] and the advantage that it does not require initial guesses. The material parameters are from the Rsoft material database [30] and literature [31][32][33][34].…”

Section: Simentioning

confidence: 99%

Aperiodic and randomized dielectric mirrors: alternatives to metallic back reflectors for solar cells

Lin¹,

Zhong²,

Fu³

et al. 2014

Opt. Express

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Dielectric mirrors have recently emerged for solar cells due to the advantages of lower cost, lower temperature processing, higher throughput, and zero plasmonic absorption as compared to conventional metallic counterparts. Nonetheless, in the past, efforts for incorporating dielectric mirrors into photovoltaics were not successful due to limited bandwidth and insufficient light scattering that prevented their wide usage. In this work, it is shown that the key for ultra-broadband dielectric mirrors is aperiodicity, or randomization. In addition, it has been proven that dielectric mirrors can be widely applicable to thin-film and thick wafer-based solar cells to provide for light trapping comparable to conventional metallic back reflectors at their respective optimal geometries. Finally, the near-field angular emission plot of Poynting vectors is conducted, and it further confirms the superior light-scattering property of dielectric mirrors, especially for diffuse medium reflectors, despite the absence of surface plasmon excitation. The preliminary experimental results also confirm the high feasibility of dielectric mirrors for photovoltaics.

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Minimization of field enhancement in multilayer capacitors

Cited by 14 publications

References 1 publication

Optimization of random diffraction gratings in thin-film solar cells using genetic algorithms

Optimization of random diffraction gratings in thin-film solar cells using genetic algorithms

An ultra-efficient energy transfer beyond plasmonic light scattering

Aperiodic and randomized dielectric mirrors: alternatives to metallic back reflectors for solar cells

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