In this study, ZnS and Mn-incorporated (at 2%, 4%, and 6%) ZnS films were deposited onto glass substrates by ultrasonic spray pyrolysis technique, and the effect of Mn incorporation on the electrical and optical properties of ZnS films was investigated. In order to determine the electrical characterization, the resistivity measurements of the films were performed by four-probe technique. The optical studies such as transmittance, reflectance and band gap energies of the films were carried out by the UV-Vis transmission.
This paper presents a new artificial neural network approach based on loss separation model to compute power loss on different types of electrical steels. The network was trained by a Levenberg-Marquardt algorithm. The results obtained by using the proposed model were compared with a commonly used conventional model. The comparison has shown that the neural network model is in good agreement with experimental data with respect to the conventional model.
Fe_{36}Co_{36}B_{19.2}Si_{4.8}Mo_2W_2 amorphous thin films have been produced by thermionic vacuum arc with thickness varying from 200 nm to 260 nm. X-ray diffraction has been employed to reveal a predominant amorphous phase in the as-prepared samples, although a small crystalline fraction cannot be excluded. The bulk magnetic properties of thin films were examined at room temperature using an ADE Magnetics EV9 vibrating sample magnetometer with maximum magnetic field strength of 1750 kA/m, real-time field control and dynamic gauss range capable of reaching a resolution of 0.08 A/m at low fields. The minimum value of the coercivity for the as-prepared samples was about 7 kA/m.
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