Optical constants characterization of As 30 Se 70−x Sn x  thin films using neural networks

Attia, Attia Ahmed; El-Bana, M.S.; Habashy, D. M.; Fouad, S.S.; El-Bakry, Mahmoud Y.

doi:10.1016/j.jart.2017.03.009

Cited by 17 publications

(3 citation statements)

References 27 publications

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“…12 shows that R L decreases with increasing number of plasma focus shots. The optical resistivity ( ρ opt ) has been deduced from the equation: 92 Fig. 12(d) shows the variation of the ρ opt with respect to photon energy; it's clear that ρ opt values decrease with respect to increasing number of plasma focus shots.…”

Section: Resultsmentioning

confidence: 99%

Optimizing the structure and optoelectronic properties of cuprite thin films via a plasma focus device as a solar cell absorber layer

Hassan,

Alyousef,

Zakaly

2024

CrystEngComm

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Section: Resultsmentioning

confidence: 99%

Optimizing the structure and optoelectronic properties of cuprite thin films via a plasma focus device as a solar cell absorber layer

Hassan,

Alyousef,

Zakaly

2024

CrystEngComm

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“…随着计算机技术的发展, 计算机算法在拟合光学常数的过程中使用越来越频繁. 常用的优化算法有蚁群算法(ant colony optimization) [55] 、模拟退火算法(simulated annealing) [56] 、遗传算法(genetic algorithms) [57] 、神经网络算法(neural networks) [58] 以及各种混合优化算法. 这些寻优算法都能很好地寻找目标函数的最优解, 从而拟合出比较符合实验材料的光学常数.…”

Section: 自建模型模拟unclassified

Perovskite/silicon heterojunction tandem solar cells: Advances in optical simulation

Wang¹,

Yan²,

Chen³

et al. 2021

Acta Phys. Sin.

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Perovskite/silicon heterojunction tandem solar cells have developed rapidly in recent years, and their efficiency is enhanced from 13.7% to 29.1%. As is well known, the optical loss has a great influence on the efficiency. Due to the complex fabrication process of tandem solar cells, it is important to obtain high-performance tandems through optical simulation. In this paper, optical simulation methods are mainly summarized from two aspects: commercial software and self-built model. Then, the progress of optical simulation is analyzed in terms of reflection loss and parasitic absorption. Finally, what should be paid more attention to in the optical simulation of tandem solar cells is pointed out. The efficiency limit of perovskite/silicon heterojunction tandem solar cells can reach up to 40%, but there remains much room for improvement. The research on optical simulation will lay the foundation of developing the tandem solar cells.

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“…The advancement of ANNs and their utilisation to physics has made it possible to represent a large variety of relationships in physics. ANN model is a high-performance and speed technique [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Investigation of experimental for optical properties of molybdenum trioxide (MoO3) thin films using neural networks

Mohamed,

El-Nahass,

El-Bakry

et al. 2023

Preprint

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Nowadays, transition metal oxide (TMO), the semi-conductor molybdenum trioxide (MoO3) is under investigation. MoO3 is a good choice because of its many industrial applications and alluring qualities. It has a significant role as an industrial catalyst and has electrochromic properties. The first part is an experimental study of the optical behaviour of the above mentioned thin film onto various substrates. X-ray diffraction (XRD) analysis revealed an orthorhombic structure. Measurements were obtained of the average crystallite size and dislocation density, which were 132.8 nm and 5.7* 10− 4 nm-2, respectively. With the use of spectrophotometric measurements of transmittance (T) and reflectance (R) at normal incidence in the 300–1400 nm wavelength range at 310 nm thickness, the optical behaviour of the mentioned film onto various substrates was examined. The dispersion and oscillator energies were measured using the single oscillator model employing a Wemple–DiDomenico relation and indirect optical transitions with corresponding h ע energy gaps were identified for glass and quartz substrates. The second part introduces estimation optical behaviour of the above mentioned thin film using ANN model. Experimental data is used as inputs. The ANN modelling outputs optical characterization provide excellent results. Error values support the success of the modelling process (MSE > 10− 1). Moreover, the theoretical equation describing the experimental results was obtained depending on the ANN model which represents the relation between the inputs and outputs. According to this research, the ANN model can be utilized as an efficient tool to simulate and predict the optical parameters of the above mentioned film. Additionally, it can establish strong connections between theoretical and experimental fields.

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Optical constants characterization of As 30 Se 70−x Sn x thin films using neural networks

Cited by 17 publications

References 27 publications

Optimizing the structure and optoelectronic properties of cuprite thin films via a plasma focus device as a solar cell absorber layer

Optimizing the structure and optoelectronic properties of cuprite thin films via a plasma focus device as a solar cell absorber layer

Perovskite/silicon heterojunction tandem solar cells: Advances in optical simulation

Investigation of experimental for optical properties of molybdenum trioxide (MoO3) thin films using neural networks

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