Thin film technology is one of the most important technologies
that have contributed to the development of semiconductors and their
applications in several industrial fields. The Iron Oxides (Fe20) and
(Co3O4) thin films and their applications are of importance, in that these
two materials are considered as important industrial materials, and used
in spectrally selective coating, temperature sensors, resistive heaters, and
photo cells.
Thin films of Iron Oxide (Fe20,), Cobalt Oxide (Co304) and
their mixtures in different ratios (75:25, 50:50, 25:75) were prepared by
the method of chemical spray pyrolysis deposition at different thicknesses
(77s t S200) nm on cover-glass substrates: thickness of (1) mm at
temperature (653)OK, and at temperature (753)oK for (one, and two) hour.
The nature of the thin-films
surfaces are examined by optical
microscopy, while the crystallinity of the compounds is examined by X
ray diffraction (XRD)
The results of KRD) have shown that the films of (Fe20,) and
(Co304) and their mixtures are of amorphous structure. Annealing
operations led to transition of the films' structure from the amorphous to polycrystalline state. These obtained results were found in
agreement with the American Standard for Testing Materials (ASTM).
Film thickness, and annealing time were investigated, the results show the
crystallite size increases with the increase of the thickness of the thin
film
The increase in the annealing time for more than one hour resulted
in the appearance of some peaks in diffraction spectrum of the prepared
films. This verifies that it is polycrystalline, and this increases the time to
organize itself in the crystalline lattice and decreases the crystalline
defect. This research also included the study of the optical properties of
the prepared samples by recording the absorption and transmission
spectrum over the spectral range (200-900 nm, the optical energy gap for
the allowed direct transition was evaluated. In general, the optical energy
gap decreases with increase of the film thickness percentage of (Co3O4)
in the sample, and it increases after annealing
The optical parameters are investigated and calculated such a
optical absorption coefficient, photon energy, and the width of localized
states too. It is found that the values of absorption coefficient the
increases with increasing percentage of (Co3O4)
Building numerical reservoir simulation model with a view to model actual case requires enormous amount of data and information. Such modeling and simulation processes normally require lengthy time and different sets of field data and experimental tests that are usually very expensive. In addition, the availability, quality and accessibility of all necessary data are very limited, especially for the green field. The degree of complexities of such modelling increases significantly especially in the case of heterogeneous nature typically inherited in unconventional reservoirs. In this perspective, this study focuses on exploring the possibility of simplifying the numerical simulation pr
The purpose of this paper is to find the best multiplier approximation of unbounded functions in –space by using some discrete linear positive operators. Also we will estimate the degree of the best multiplier approximation in term of modulus of continuity and the averaged modulus.
The intelligent buildings provided various incentives to get highly inefficient energy-saving caused by the non-stationary building environments. In the presence of such dynamic excitation with higher levels of nonlinearity and coupling effect of temperature and humidity, the HVAC system transitions from underdamped to overdamped indoor conditions. This led to the promotion of highly inefficient energy use and fluctuating indoor thermal comfort. To address these concerns, this study develops a novel framework based on deep clustering of lagrangian trajectories for multi-task learning (DCLTML) and adding a pre-cooling coil in the air handling unit (AHU) to alleviate a coupling issue. The proposed DCLTML exhibits great overall control and is
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