Investigating the variation in the optical properties of TiO2 thin-film utilized in bifacial solar cells using machine learning algorithm

Abdellatif, Sameh O.; Fathi, Ahmad; Abdullah, Kareem; Hassan, Minatallah M.; Khalifa, Ziad

doi:10.1117/1.jpe.12.022202

Cited by 19 publications

(12 citation statements)

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“…Stirring was done at 35 °C for 30 min. More details about the TiO 2 recipe can be accessed in our previous work [49][50][51][52][53] . After that, ultrasonic treatment was performed for 30 min, and the power was 160 W. Then, the formed powder was filtered and dried by heating at 80 °C for 8 h. After grinding, the BaTiO 3 was prepared by sintering at 850 °C for 5 h, during which the heating rate was 5 °C per minute.…”

Section: Experimental Workmentioning

confidence: 99%

“…Finally, dry the samples using the N 2 stream. The screen printing is done by adding a few drops of BaTiO 3 paste to the glass and spreading it evenly to the thickness of the tape using an automated glass rod screen printing machine, previously customized and reported in 51 . Finally, the glass substrate is placed on a hot plate for 6-8 min at 130 °C, removed, and left to cool down at room temperature.…”

Section: Experimental Workmentioning

confidence: 99%

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Optical investigation and computational modelling of BaTiO3 for optoelectronic devices applications

Elmahgary

Mahran

Ganoub

et al. 2023

Sci Rep

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ABX3 perovskite-based materials have attracted research attention in various electronic and optoelectronic applications. The ability to tune the energy band gap through various dopants makes perovskites a potential candidate in many implementations. Among various perovskite materials, BaTiO3 has shown great applicability as a robust UV absorber with an energy band gap of around 3.2 eV. Herein, we provide a new sonochemical-assisted solid-phase method for preparing BaTiO3 thin films that optoelectronic devices can typically be used. BaTiO3 nano-powder and the thin film deposited on a glass substrate were characterized using physicochemical and optical techniques. In addition, the work demonstrated a computational attempt to optically model the BaTiO3 from the atomistic level using density functional theory to the thin film level using finite difference time domain Maxwell's equation solver. Seeking repeatability, the dispersion and the extinction behavior of the BaTiO3 thin film have been modeled using Lorentz-Dude (LD) coefficients, where all fitting parameters are listed. A numerical model has been experimentally verified using the experimental UV–Vis spectrometer measurements, recording an average root-mean-square error of 1.44%.

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Section: Experimental Workmentioning

confidence: 99%

Section: Experimental Workmentioning

confidence: 99%

Optical investigation and computational modelling of BaTiO3 for optoelectronic devices applications

Elmahgary

Mahran

Ganoub

et al. 2023

Sci Rep

Self Cite

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“…Figure 1f [61]. It is worth highlighting that the proposed cells are symmetric in terms of electrodes to ensure bifacial capabilities [53]. Accordingly, transparent conducting oxides (TCOs) were used, mainly FTO except for topology (d), where ZnO was utilized.…”

Section: Optoelectronic Simulation Modelmentioning

confidence: 99%

“…For the three samples 2, 3, and 4, AM1.5G is used from the contact with an active layer thickness of 850 nm in sample #2, 700 nm in sample #3, and 600 nm in sample #4. Experimentally, we adopted our previous reported recipe for fabricating DSSCs in [30,33,[50][51][52][53][54] to fabricate sample #5. In the suggested recipe, TiO 2 layers are deposited via screen printing and spin coating, respectively, where the iodine-based electrolyte is used.…”

Section: Model Validationmentioning

confidence: 99%

“…Alternatively, DSSCs have been enrolled for underwater and diffused light-harvesting applications, showing an auspicious performance concerning conventional silicon cells [30,31,43,51,52]. Besides, both PSCs and DSSCs showed potential in forming bifacial cells, contributing to the light-harvesting performance in many applications [52,53]. Herein, we merge both PSCs and DSSCs under the term "mesostructured-based Solar Cells" (MSSCs) as both utilize mesoporous [50,54] TiO 2 thin film.…”

Section: Introductionmentioning

confidence: 99%

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Transparency against efficiency in uni/bifacial mesostructured-based solar cells for self-powered sensing applications

Mahran

Abdellatif

2022

Analog Integr Circ Sig Process

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Low-power IoT sensing applications have proliferated, focusing on self-powered sensors. Accordingly, researchers have investigated serval procedures for the power management of such self-powered sensors. Obesely, minimizing the energy consumed by the sensor is critical to efficient power management. However, another challenge is still considered in harvesting energy effectively. Herein, we provide an attempt to investigate light harvesters that are capable of semi-transparent applications. Six samples were simulated under three light sources while performing a unifacial and bifacial optical injection. The optoelectronic numerical model has shown the utility of perovskite solar cells to harvest the AM1.5G solar spectrum up to 28.63%, with transparency reaching 87%. On the other hand, the bifacial condition boosted the overall cell efficiency to nearly 33% with transparency of 90%, without considering Fresnel glass reflection of 8%. The proposed bifacial cell is a primary light-harvesting source for four IoT sensing applications, including biomedical sensing, underwater harvesting, and IoT sensing in intelligent vehicles and buildings.

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Perovskites informatics: Studying the impact of thicknesses, doping, and defects on the perovskite solar cell efficiency using a machine learning algorithm

Ismail

Sawires

Amer

et al. 2023

Int J Numerical Modelling

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The integration of machine learning (ML) models in studying, investigating, and optimizing various electronic devices and materials has significantly glow up. With the aid of ML algorithms and input datasets, data regression and prediction can show the output characteristic performance under a wide range of input combinations. Herein, we utilize a random‐forest ML algorithm to study the influence of nine input design parameters on the overall power conversion efficiency (PCE) of cesium lead halides perovskites cells. The doping levels, the defects densities, and the thicknesses among the perovskite thin film, as well as the hole and electron transport layers, are studied against the cell PCE. The seeded dataset is managed using experimental data and experimentally validated numerical simulations. Datasets of more than 1 512 000 points were generated and seeded to the ML model. The PCE variation against the inputs for the three metal halides was investigated. A 17.8% PCE for CsPbI3 was reached, while PCE of 14.6% and 6.5% were recorded for CsPbBr3, and CsPbCl3, respectively.

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Investigating the variation in the optical properties of TiO2 thin-film utilized in bifacial solar cells using machine learning algorithm

Cited by 19 publications

References 0 publications

Optical investigation and computational modelling of BaTiO3 for optoelectronic devices applications

Optical investigation and computational modelling of BaTiO3 for optoelectronic devices applications

Transparency against efficiency in uni/bifacial mesostructured-based solar cells for self-powered sensing applications

Perovskites informatics: Studying the impact of thicknesses, doping, and defects on the perovskite solar cell efficiency using a machine learning algorithm

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