Photovoltaic performance and electrochemical impedance spectroscopy analysis of CdS/CdSe-sensitized solar cell based on surfactant-modified ZnS treatment

Samadpour, Mahmoud; Dehghani, Mehdi; Parand, Parisa; Najafi, M. N.; Parvazian, Ershad

doi:10.1007/s00339-020-03652-w

Cited by 7 publications

(2 citation statements)

References 41 publications

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“…Electrochemical impedance spectroscopy (EIS) is a nondestructive type of parameter measurement that uses the small-amplitude sinusoidal potential (or current) as the disturbance signal to generate an approximate linear response of the electrode system, and measures the impedance spectrum of the electrode system in a wide frequency range, so as to study the IPMC system [31,32]. In this experiment, 1 mol/L Na 2 SO 4 electrolyte solution was used to measure the AC impedance spectrum of the sample between 0.01 Hz and 5104 Hz.…”

Section: Ac Impedance Test (Eis)mentioning

confidence: 99%

Preparation and Electrochemical Performance Analysis of Flexible Ionic Polymers by Freeze-Drying Technology

Zhao

Shao

Zhang

et al. 2022

Advances in Materials Science and Engineering

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With the development of bionics and marine science, a new artificial muscle material, IPMC (ion-exchange polymer metal composite), has attracted significant attention. However, the performance issues, as well as problems associated with the preparation of IPMC, have limited its development. In this study, we use the freeze-drying technique, successfully creating a new type of enhanced carbon nanotube IPMC material. Moreover, we also use the method of cyclic voltammetry, ac impedance, and the constant current charge and discharge method to analyze and evaluate the multiwalled carbon nanotube (MWCNT)-reinforced IPMC produced by freeze-drying technology. Freeze-dried IPMC has a higher moisture content, which is 1.58 times higher than that of ordinary IPMC. The pore and multiwalled carbon nanotube (MWCNT) in the ion exchange membrane are distributed more homogeneously. The technology prepared by IPMC has superior electrical performance. Under a 2 v scanning interval and a scanning speed of 50 mV/s, its specific capacitance can reach 247.5335 mF/cm−2, which is 24 times that of normal IPMC. Under the same conditions, its conductivity can reach 0.29391 mS/cm, far higher than that of ordinary IPMC. Furthermore, the preparation process is also safer. This method provides a new strategy for the future preparation and usage of IPMC.

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Section: Ac Impedance Test (Eis)mentioning

confidence: 99%

Preparation and Electrochemical Performance Analysis of Flexible Ionic Polymers by Freeze-Drying Technology

Zhao

Shao

Zhang

et al. 2022

Advances in Materials Science and Engineering

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“…The layered structure is increasingly studied and attracted researchers. Many studies conducted in this domain [8][9][10][11][12][13][14][15][16][17]. Modeling is a technique to replicate real systems.…”

Section: Introductionmentioning

confidence: 99%

Modeling the electrical properties of heterojunctions using ANFIS, ANFIS-GA and ANFIS-PSO Models

Mohamed

2023

Phys. Scr.

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The present research introduces a theoretical study that aims to utilize ANFIS in estimating and predicting the electrical behavior of heterojunctions. For this purpose, five different heterojunctions were chosen. The experimental datasets that represent the electrical behavior of the chosen heterojunctions were extracted and employed in ANFIS as targets. To enhance the ANFIS performance two hybrid heuristic algorithms, genetic algorithm (GAs) and particle swarm optimization (PSO) were combined with ANFIS. The major contribution of the current research is to predict the electric characteristics of heterojunctions using ANFIS and increase the modeling accuracy of ANFIS by optimizing the premise and consequent parameters using (GAs) and (PSO). Also, compare the proportion of enhancement produced by using ANFIS-GA and ANFIS-PSO to decide which of them is more powerful under the study conditions. However, to the author’s knowledge, the presented goals have not been investigated before for heterojunctions. The mean squared error (MSE), the correlation coefficient (R2), and the standard deviation error (Std. error) were calculated for all trained models. The modeling errors of ANFIS-GA and ANFIS-PSO were compared to the error values produced by ANFIS. According to modeling results, simulation ANFIS outputs follow the experimental data patterns in excellent response. Predictions of electrical characteristics for heterojunctions using the trained models provide acceptable results where the MSE values obtained by training ANFIS-PSO are lower than their values obtained by ANFIS and ANFIS-GA models. The improvements in average percentages in ANFIS performance when combined with GA and PSO are equal to 2.2% and 3%, respectively. Consequently, the proposed ANFIS-PSO model is more accurate in predicting the electrical behavior of heterojunctions under the study conditions.

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A CuxS/GO composite hole transport layer for photovoltaic performance enhancement on CuInS2 quantum dot-sensitized solar cells

et al. 2022

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Photovoltaic performance and electrochemical impedance spectroscopy analysis of CdS/CdSe-sensitized solar cell based on surfactant-modified ZnS treatment

Cited by 7 publications

References 41 publications

Preparation and Electrochemical Performance Analysis of Flexible Ionic Polymers by Freeze-Drying Technology

Preparation and Electrochemical Performance Analysis of Flexible Ionic Polymers by Freeze-Drying Technology

Modeling the electrical properties of heterojunctions using ANFIS, ANFIS-GA and ANFIS-PSO Models

A CuxS/GO composite hole transport layer for photovoltaic performance enhancement on CuInS2 quantum dot-sensitized solar cells

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