Particle swarm optimization of nanoantenna-based infrared detectors

Briones, Edgar; Ruíz-Cruz, Riemann; Briones, Joel; González, Natalia Fuentes; Simón, Jorge; Arreola, Mayela; Alvarez-Alvarez, Gregorio

doi:10.1364/oe.26.028484

Cited by 11 publications

(6 citation statements)

References 39 publications

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“…[53,55] The resonance wavelength (λ res ) of a nano-antenna is mainly determined by its dimensions. In this method, PSOA [38] is used to find the best values of nano-antenna dimension, which provides the highest efficiency and the required amount for the input impedance. This manner is performed by combining the PSOA with the FEM, in which the PSOA updates the nano-antenna dimension values and the fitness function evaluation with FE.…”

Section: Modelling and Designmentioning

confidence: 99%

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Design and optimization of a nano-antenna hybrid structure for solar energy harvesting application

Rabienejhad¹,

Davoudi-Darareh²,

Mazaheri³

2021

Chinese Phys. B

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A novel hybrid structure with high responsivity and efficiency is proposed based on an L-shaped frame nano-antenna (LSFNA) array for solar energy harvesting application. So, two types of LSFNAs are designed and optimized to enhance the harvesting characteristics of traditional simple electric dipole nano-antenna (SEDNA). The LSFNA geometrical dimensions are optimized to have the best values for the required input impedance at three resonance wavelengths of λ res = 10 μm, 15 μm, and 20 μm. Then the LSFNAs with three different sizes are modeled like a planar spiral-shaped array (PSSA). Also, a fractal bowtie nano-antenna is connected with the PSSA in the array gap. This proposed hybrid structure consists of two main elements: (I) Three different sizes of the LSFNAs with two different material types are designed based on the thin-film metal–insulator–metal diodes that are a proper method for infrared energy harvesting. (II) The PSSA gap is designed based on the electron field emission proposed by the Fowler–Nordheim theory for the array rectification. Finally, the proposed device is analyzed. The results show that the PSSA not only has an averaged 3-time enhancement in the harvesting characteristics (such as return loss, harvesting efficiency, etc.) than the previously proposed structures but also is a multi-resonance wide-band device. Furthermore, the proposed antenna takes up less space in the electronic circuit and has an easy implementation process.

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Section: Modelling and Designmentioning

confidence: 99%

“…The PSOA updates the LSFNA numerical values of geometric dimensions and the fitness performance evaluated by FEM. [36][37][38] The LSFNA performance is analyzed by using the RLC equivalent circuit method.…”

Section: Introductionmentioning

confidence: 99%

Design and optimization of a nano-antenna hybrid structure for solar energy harvesting application

Rabienejhad¹,

Davoudi-Darareh²,

Mazaheri³

2021

Chinese Phys. B

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“…Currently, traditional optimization methods, such as gradient descent (GD) [19][20] and heuristic methods [21][22][23][24], are employed in resist model calibration. The former relies on the gradient information of the loss function to update the parameters, which is widely used due to its stable convergence and clear underlying principles.…”

Section: Introductionmentioning

confidence: 99%

Cluster Sampling and Scalable Bayesian Optimization with Constraints for Negative Tone Development Resist Model Calibration

Ma,

Hao

et al. 2024

Preprint

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As the semiconductor technology node continues to shrink, achieving smaller critical dimension in lithography becomes increasingly challenging. Negative tone development (NTD) process is widely employed in advanced node due to their large process window. However, the unique characteristics of NTD, such as shrinkage effect, make the NTD resist model calibration more complex. Gradient descent (GD) and heuristic methods have been applied for calibration of NTD resist model. Nevertheless, these methods depend on initial parameter selection and tend to fall into local optima, resulting in poor accuracy of the NTD model and massive computational time. In this paper, we propose cluster sampling and scalable Bayesian optimization (BO) with constraints method for NTD resist model calibration. This approach utilizes cluster sampling strategy to enhance the capability for global initial sampling and employs scalable BO with constraints for global optimization of high-dimensional parameter space. With this approach, the calibration accuracy is significantly enhanced in comparison with results from GD and heuristic methods, and the computational efficiency is substantially improved compared with GD. By gearing up cluster sampling strategy and scalable BO with constraints, this method offers a new and efficient resist model calibration.

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“…The dimensions of the resonant antennas are proportional to the operating wavelength in the microwave, IR, or optical regimes 45 , 46 . Many nano-antennas structures were proposed in literature to operate around 10 μm including nano-dipoles 47 , bowties 16 , 17 , spiral 48 , nano-crescent 49 , tapered dipole 50 , and log-periodic 51 . These designs resulted in an antenna resistance in the range of a few tens of Ohms 51 .…”

Section: Introductionmentioning

confidence: 99%

Optimized polarization-independent Chand-Bali nano-antenna for thermal IR energy harvesting

Elsharabasy,

Bakr,

Deen

2023

Sci Rep

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A novel, polarization-independent, wide-angle reception Chand-Bali nano-antenna is proposed. An adjoint-based optimization algorithm is used to create the same resonance at both linear polarizations of the incident radiation. The nano-antenna optimal parameters reveal that two hot spots with a strong field enhancement are created. These hot-spots could be integrated with metal–insulator–metal (MIM) diodes to form a rectenna for infrared (IR) energy harvesting. The metallic resonators allow for selecting several materials to facilitate the fabrication of the nano-antenna and the MIM diode. The Chand-Bali-based IR rectennas are investigated and simulations demonstrate an improvement of more than one order of magnitude in efficiency compared to ones using traditional nano-antennas.

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Particle swarm optimization of nanoantenna-based infrared detectors

Cited by 11 publications

References 39 publications

Design and optimization of a nano-antenna hybrid structure for solar energy harvesting application

Design and optimization of a nano-antenna hybrid structure for solar energy harvesting application

Cluster Sampling and Scalable Bayesian Optimization with Constraints for Negative Tone Development Resist Model Calibration

Optimized polarization-independent Chand-Bali nano-antenna for thermal IR energy harvesting

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