Electrodeposition of CdTe thin films using an acetate precursor for solar energy application: The effect of deposition voltage
AU Yimamu, MA Afrassa, BF Dejene… - Materials Today …, 2023 - Elsevier
Abstract Cadmium Telluride (CdTe) thin films were synthesized using a low-cost two-
electrode electrodeposition configuration in potentiostatic mode and from an aqueous acidic …
electrode electrodeposition configuration in potentiostatic mode and from an aqueous acidic …
Prediction of device performance in SnO2 based inverted organic solar cells using Machine learning framework
NA Zulkafli, CEA Bundak, MA Abd Rahman, CC Yap… - Solar Energy, 2024 - Elsevier
The development of wearable electronic gadgets has spanned the research attention toward
the design of flexible and high-performance organic solar cells. The complicated process …
the design of flexible and high-performance organic solar cells. The complicated process …
Solar Irradiance Prediction Using an Optimized Data Driven Machine Learning Models
For a higher degree of penetration of renewable energy into the controls of the existing
power system, an accurate solar energy prediction is necessary. Data-driven algorithms may …
power system, an accurate solar energy prediction is necessary. Data-driven algorithms may …
Electronic properties prediction enhancement of 36 ternary III-IB-VI alloys using a deep feed-forward neural network
P Mohammadi, A Kokabi, HR Shahdoosti… - Materials Today …, 2024 - Elsevier
The electronic properties of 36 ternary III-IB-VI monolayers have been investigated using a
correlation study, in which a comprehensive study of the band structure of these alloys is …
correlation study, in which a comprehensive study of the band structure of these alloys is …
Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms
Perovskites have gained significant attention in recent years due to their unique and
versatile material properties. The lattice parameters of the perovskite compounds play a …
versatile material properties. The lattice parameters of the perovskite compounds play a …
Experimental analysis and ANFIS modeling of optical properties and band gap engineering in Se–Te–Ge film composition and insights into its photonic applications
RA Mohamed, HE Atyia - The European Physical Journal Plus, 2024 - Springer
The current research presents an experimental and theoretical approach for the optical
behavior of Se–Ge–Te material using the adaptive neuro-fuzzy inference system ANFIS …
behavior of Se–Ge–Te material using the adaptive neuro-fuzzy inference system ANFIS …