Azarbaijan Shahid Madani University

About: Azarbaijan Shahid Madani University is a education organization based out in Tabriz, Iran. It is known for research contribution in the topics: Graphene & Nanocomposite. The organization has 1477 authors who have published 3186 publications receiving 30278 citations. The organization is also known as: Azarbaijan University.

Theoretical study of the adsorption of NOx on TiO2/MoS2 nanocomposites: a comparison between undoped and N-doped nanocomposites

Abstract: First-principle calculations within density functional theory were performed to investigate the interactions of NO and NO2 molecules with TiO2/MoS2 nanocomposites. Given the need to further comprehend the behavior of the NOx molecules positioned between the TiO2 nanoparticle and MoS2 monolayer, we have geometrically optimized the complex systems consisting of the NOx molecule oriented at appropriate positions between the nanoparticle and MoS2 monolayer. The structural properties, such as bond lengths, bond angles, adsorption energies and Mulliken population analysis, and the electronic properties, including the density of states and molecular orbitals, were also analyzed in detail. The results indicate that the interactions between NOx molecules and N-doped TiO2 in TiO2-N/MoS2 nanocomposites are stronger than those between gas molecules and undoped TiO2 in TiO2/MoS2 nanocomposites, which reveal that the N-doping helps to strengthen the interaction of toxic gas molecules with hybrid TiO2/MoS2 nanocomposites. The N-doped TiO2/MoS2 nanocomposites have higher sensing capabilities than the undoped ones, and the interaction of NOx molecules with N-doped nanocomposites is more favorable in energy than the interaction with undoped nanocomposites. Therefore, the obtained results also present a theoretical basis for the potential application of TiO2/MoS2 nanocomposite as an extremely sensitive gas sensor for NO and NO2 molecules.

A numerical method for solving a fractional partial differential equation through converting it into an NLP problem

Abstract: In this paper, we propose a new approach for solving fractional partial differential equations, which is very easy to use and can also be applied to equations of other types. The main advantage of the method lies in its flexibility for obtaining the approximate solutions of time fractional and space fractional equations. Using this approach, we convert a fractional partial differential equation into a nonlinear programming problem. Several numerical examples are used to demonstrate the effectiveness and accuracy of the method.

Bionanocomposites based on alginate and chitosan/layered double hydroxide with ciprofloxacin drug: Investigation of structure and controlled release properties

Abstract: In this research work, the antibiotic drug Ciprofloxacin (CFX) was intercalated into interlayer space of Zn/Al layered double hydroxides (LDH) by coprecipitation method and CFX-LDH nanohybride was obtained. Then, the Alginate/LDH and Chitosan/LDH bionanocomposites were prepared by coating of CFX-LDH nanohybride with Alginate and Chitosan. The LDH-CFX nanohybride and the bionanocomposites were characterized using the powder X-ray diffraction, the scanning electron microscope, the thermogravimetric analyses, and the Fourier transform infrared spectroscopy. In vitro release behavior of the CFX from LDH and bionanocomposites is observed in buffer solution under pH conditions (pH = 1.2, 6.8, 7.4) which have been chosen from a model of the passage materials through the gastrointestinal tract. POLYM. COMPOS., 36:1819–1825, 2015. © 2014 Society of Plastics Engineers.

Multi-objective planning model for simultaneous reconfiguration of power distribution network and allocation of renewable energy resources and capacitors with considering uncertainties

Abstract: This research develops a comprehensive method to solve a combinatorial problem consisting of distribution system reconfiguration, capacitor allocation, and renewable energy resources sizing and siting simultaneously and to improve power system’s accountability and system performance parameters. Due to finding solution which is closer to realistic characteristics, load forecasting, market price errors and the uncertainties related to the variable output power of wind based DG units are put in consideration. This work employs NSGA-II accompanied by the fuzzy set theory to solve the aforementioned multi-objective problem. The proposed scheme finally leads to a solution with a minimum voltage deviation, a maximum voltage stability, lower amount of pollutant and lower cost. The cost includes the installation costs of new equipment, reconfiguration costs, power loss cost, reliability cost, cost of energy purchased from power market, upgrade costs of lines and operation and maintenance costs of DGs. Therefore, the proposed methodology improves power quality, reliability and security in lower costs besides its preserve, with the operational indices of power distribution networks in acceptable level. To validate the proposed methodology’s usefulness, it was applied on the IEEE 33-bus distribution system then the outcomes were compared with initial configuration.