In the countries such as Pakistan, for analyzing the losses and techniques in the power
distribution and for mitigating, are the two active areas of research which is spread globally …

Among the various two-dimensional semiconductors, indium selenide has recently triggered
the interest of scientific community, due to its band gap matching the visible region of the …

In this study, an artificial neural network model has been developed to predict the current
values of a 6H–SiC/MEH-PPV Schottky diode with polymer-interface, depending on …

In the present work, an Artificial Neural Network (ANN) methodology for studying and
modeling the soiling effect on solar photovoltaic (PV) glass is presented. To perform the …

Lattice parameters of perovskite compounds play crucial roles in engineering of buffer layers
and substrates for heteroepitaxial films. As a result, predictive models that can effectively …

Despite recent remarkable progress in multiple synaptic devices, searching for artificial
synapses with new functions is still an important task in the construction of artificial neural …

The present framework is primarily concerned with the optical properties of As 40 Se 60-x Sn
x thin films. The bulk form has been synthesized by the melt quenching technique. The thin …

Hybrid organic-inorganic solar cells of the configuration ITO/InSe/TCVA/Au have been
fabricated using thermal evaporation technique. The electrical transport mechanisms of the …

Presence of a direct wide band gap and large exciton binding energy in ZnO contributes
enormously to its diverse practical applications such as transparent electrodes in solar cells …

Due to the pivotal role of UV photodiodes in many technological applications in tandem with
the high efficiency achieved by machine learning techniques in regression and classification …