6 research outputs found

    Design and Optimization of CdSe–CuSbSe2-Based Double-Junction Two-Terminal Tandem Solar Cells With VOC > 2.0 V and PCE Over 42%

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    In this article, we demonstrate CdSe–CuSbSe2-based double junction two-terminal tandem solar cells simulated with SCAPS-1D. The highest performance of the tandem cell has been confirmed by optimizing the electrical and optical properties of the window, top absorber, CdSe (bandgap 1.7 eV), bottom absorber, CuSbSe2 (bandgap 1.08 eV), and back surface layers. In addition, the effect of different parameters such as thickness, doping, and defect density of different layers has been investigated in detail. With the optimized condition, the modeled CdSe–CuSbSe2 double-junction two-terminal tandem solar cell displays a noticeable efficiency of 42.64% with an open-circuit voltage of 2.09 V, short-circuit current density of 24.09 mA/cm2, and fill factor of 84.36%, respectively. These results are highly propitious for the construction of all-chalcogenide–based high-performance tandem photovoltaic cells in the future

    Performance Analysis of Perovskite Solar Cells Using DFT-Extracted Parameters of Metal-Doped TiO2 Electron Transport Layer

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    The performance of perovskite solar cells (PSCs) depends heavily on the electronic and optical properties of the electron transport layer (ETL). Density functional theory (DFT) uses a quantum-mechanical approach to accurately predict the properties of different layers in PSCs, including the ETL. Titanium dioxide (TiO2) is a widely used material for the ETL in PSCs. In this work, we use first-principles calculations based on DFT to obtain the electronic and optical properties of pristine rutile TiO2 and TiO2 doped with tin (Sn) and zinc (Zn). DFT-extracted carrier mobility, band gap, and the absorption spectrum of TiO2 are used in the SCAPS-1D device simulator to evaluate the performance of the solar cell device, with respect to dopant concentration and thickness of TiO2. PSCs with 3.125 mol % Sn-doped TiO2 achieve a maximum power conversion efficiency (PCE) of 17.14 versus 13.70% with undoped TiO2. We have also compared the performance of PSCs with Sn-doped and Zn-doped TiO2. For the same dopant concentration, Sn-doped TiO2 offers 0.63% higher PCE than the Zn-doped counterpart. The results are in good agreement with reported experimental findings and provide a reliable means of evaluating PSC performance by combining first-principles (DFT) calculations with conventional device simulations

    A confirmatory death case of human rabies in Bangladesh

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    In the present study clinical profile with specific attention to typical clinical presentation and deficiencies/lacunae in post-exposure prophylactic management as per WHO guidelines in adult rabies patients. An observational analysis was performed on a clinically suspected human rabies case, whose samples were gathered at a rabies diagnostic laboratory at Infectious Disease Hospital, Dhaka (IDH) over the course of three days (20/09/2021 to 23/09/2021). The patient’s clinical and demographic information was acquired. The clinical specimens involved cerebrospinal fluid (CSF), saliva, nuchal skin biopsy and serum collected antemortem, and brain tissue obtained post-mortem. A variety of laboratory tests were used to make the diagnosis. The patient died in hospital 3 days after hospitalization (20 days after the occurrence of animal bite). After referring the patient to the IDH, a lumbar puncture was administered, and PCR tests for rabies were forwarded to the cerebrospinal fluid (CSF) and serum. The serum & CSF have indicated antibodies with rabies. The fluorescence microscopy screening program for rabies was positive in the brainstem, cerebral cortex, cerebellum, and cerebrum. The patient’s samples of saliva (0.5-1 mL) and skin were also sent to PCR for rabies. Diagnostic testing of the patient later confirmed human rabies. Human rabies is a crucial health problem. So, there are required to educate the community and health workers about the value of immediate and adequate post-exposure treatment, to launch an effective control program for rabid dogs, and to make availability of rabies vaccine as well as rabies immunoglobulin (RIG)

    Physics-informed computer vision assisted defects classifier in transition metal dichalcogenides using electrical atomic force microscopy

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    Layered, atomically thin two-dimensional (2D) semiconductors, such as transition metal dichalcogenides (TMDs), have gained significant interest in logic, memory, and photonic applications. In each of these areas, the optimal device performance can be obtained only with the tuning of TMDs’ electronic, structural, and optical properties. However, while TMD growth methods offer a high degree of tunability for the material quality, limited alternatives exist for a rapid screening of material quality when focusing on the electrical properties. To achieve an efficient quality classification for both material selection and optimization, we introduce a combination of computer vision algorithms applicable to electrical atomic force microscopy (AFM). In this article, we introduce a rapid first-pass screening tool that automates the extraction of crucial material parameters, including coverage, defect density, extended defects, and others, by an automated physics-informed analysis flow based on AFM-generated current maps. Presented results offer a pathway to automate the analysis of 2D TMDs, with emphasis on the various electrically active imperfections for the rapid screening of growth conditions in technologically relevant applications
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