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taherinia--davoud
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Nanosized NiFeSe2/NiCo2O4 hierarchical arrays on Ni foam as an advanced electrocatalyst for hydrogen generation
, Article Sustainable Energy and Fuels ; Volume 7, Issue 1 , 2022 , Pages 112-121 ; 23984902 (ISSN) ; Shekarabi, S ; Taherinia, D ; Zare Pour, M. A ; Sharif University of Technology
Royal Society of Chemistry
2022
Abstract
The rational design of composite catalysts is critically essential for electrochemical water splitting. Here, we report on a novel hierarchical composite that comprises NiFeSe2 nanoparticles and NiCo2O4 nanoflakes supported on nickel foam (NF) as an efficient electrocatalyst for the hydrogen evolution reaction (HER). The conjunction of the NiFeSe2 nanoparticles and NiCo2O4 nanoflakes introduces a new synergistic effect for the HER, resulting in an improved NiCo2O4 catalyst. The as-prepared NiFeSe2/NiCo2O4/NF electrode exhibited an enhanced HER activity, with a low overpotential of 83 mV at a current density of 10 mA cm−2, a low Tafel slope of 45 mV dec−1, and an excellent long-term...
The use of Bayesian nonlinear regression techniques for the modelling of the retention behaviour of volatile components of Artemisia species
, Article SAR and QSAR in Environmental Research ; Volume 23, Issue 5-6 , 2012 , Pages 461-483 ; 1062936X (ISSN) ; Mani-Varnosfaderani, A ; Taherinia, D ; Mahmoodi, M. M ; Sharif University of Technology
2012
Abstract
The main aim of this work was to assess the ability of Bayesian multivariate adaptive regression splines (BMARS) and Bayesian radial basis function (BRBF) techniques for modelling the gas chromatographic retention indices of volatile components of Artemisia species. A diverse set of molecular descriptors was calculated and used as descriptor pool for modelling the retention indices. The ability of BMARS and BRBF techniques was explored for the selection of the most relevant descriptors and proper basis functions for modelling. The results revealed that BRBF technique is more reproducible than BMARS for modelling the retention indices and can be used as a method for variable selection and...
Simulation, Integration, Optimization of Conversion of Natural Gas to Olefins by Methanol Production Process with ASPEN PLUS and GAMS Softwares
, M.Sc. Thesis Sharif University of Technology ; Rashtchian, Davoud (Supervisor) ; Sharifzadeh, Mahdi (Supervisor)
Abstract
Considering the supply and demand market of natural gas, methanol, propylene and ethylene and the propylene value chain, it is expected that the design of the propylene production process from methanol produced from natural gas and its implementation in Iran country can significantly flourish the production of polypropylene, acrylonitrile and Etc. On the other hand, with the industrialization of this process, the uncontrolled export of methanol from Iran to countries such as China and the devaluation of methanol will be prevented. In this report, the process of producing synthetic gas from natural gas using autothermal reactor and heat exchange reforming, separation and storage of carbon...
Continues Risk Assessment by Exploiting Artificial Intelligence
, M.Sc. Thesis Sharif University of Technology ; Rajabi, Abbas (Supervisor) ; Rashtchian, Davoud (Supervisor)
Abstract
The Fourth Industrial Revolution brought about a fundamental change in the system of management and production, especially in the field of industry, which was accompanied by the development of technology in the fields of artificial intelligence, robotics, nanotechnology and biotechnology. In line with these changes, the industry needs a new method to evaluate the reliability of operational equipment using artificial intelligence and intelligent systems, which aims to optimize the balance between a variety of repair methods with the possibility of timely replacement of parts. In this new method, the life of the parts is increased and the unplanned maintenance costs and labor are reduced. One...
Induced soap-film flow by non-uniform alternating electric field
, Article Journal of Electrostatics ; Volume 73 , February , 2015 , Pages 112-116 ; 03043886 (ISSN) ; Ramos, A ; Amjadi, A ; Taherinia, J ; Mashhadi, M ; Nejati, A ; Sharif University of Technology
Elsevier
2015
Abstract
Fluid flows generated on soap films by non-uniform alternating electric fields are studied. Two parallel metal rods subjected to an AC voltage are placed perpendicular to the soap film, which is anchored in a dielectric frame. The fluid flow is generated by electrohydrodynamic induction. At very low signal frequencies there is induced surface charge, but there is no tangential electric field at the surface, so there is no force and no flow. Fluid flow is observed increasing the frequency, when there are both surface charge and tangential electric field. The flow velocity increases with decreasing thickness of the soap film
Efficiency assessment of job-level dynamic scheduling algorithms on identical multiprocessors
, Article WSEAS Transactions on Computers ; Volume 5, Issue 12 , 2006 , Pages 2948-2955 ; 11092750 (ISSN) ; Naghibzadeh, M ; Taherinia, A. H ; Bahekmat, M ; Khajouie Nejad, S ; Sharif University of Technology
2006
Abstract
This paper presents a comprehensive comparison between job-level dynamic scheduling algorithms on real-time multiprocessor environments using simulation. Earliest Deadline First (EDF) and Least Laxity First (LLF) are two well-known and extensively applied dynamic scheduling algorithms which have been proved to be optimal on uniprocessor systems. However, neither is shown to be optimal on multiprocessors. Many researches have already been done on aforementioned algorithms, but to the best of our knowledge, none of which has compared the efficiency of the two algorithms under similar conditions. Perhaps the main reason is that LLF algorithm is fully dynamic and impractical to implement. In...
Classification of anti-HIV compounds using counterpropagation artificial neural networks and decision trees
, Article SAR and QSAR in Environmental Research ; Volume 22, Issue 7-8 , Oct , 2011 , Pages 639-660 ; 1062936X (ISSN) ; Mani Varnosfaderani, A ; Eftekhar Jahromi, P ; Mohsen Mahmoodi, M ; Taherinia, D ; Sharif University of Technology
2011
Abstract
The main aim of the present work was to collect and categorize anti-HIV molecules in order to identify general structure-activity relationships. In this respect, a total of 5580 drugs and drug-like molecules was collected from 256 different articles published between 1992 and 2010. An algorithm called genetic algorithm-pattern search counterpropagation artificial neural networks (GPS-CPANN) was proposed for the classification of compounds. In addition, the CART (classification and regression trees) method was used for construction of decision trees and finding the best molecular descriptors. The results revealed that the developed CPANN models and decision tree can correctly classify the...
Effect of Kinetic and Hydrodynamic on Asphaltene Deposition in Porous Media
, Ph.D. Dissertation Sharif University of Technology ; Rashtchian, Davoud (Supervisor) ; Jamialahamdi, Mohammad (Supervisor) ; Tohidi, Bahman (Supervisor)
Abstract
Asphaltene are the heaviest components if some crude oil which are in thermodynamic equilibrium. Any change in the equilibrium condition including change in temperature, pressure or composition may render asphaltene to come out of solution and precipitate. Asphaltene precipitation and deposition is one of the main problems in some of the oil fields. Precipitated asphaltene may deposit in the reservoir, near wellbore, wellstring, transport pipeline and surface facilities. In porous media, the deposited asphaltene over the surface and/or across pore throat can severely reduce the effective permeability and results in decreasing of the oil production. Also, the deposited asphaltene results in...
Direct Numerical Simulation of Hydrogen-Water Flow at Pore-Scale During Underground Hydrogen Storage using Computational Fluid Dynamic Methods
, M.Sc. Thesis Sharif University of Technology ; Mahani, Hassan (Supervisor) ; Ayatollahi, Shahabedin (Supervisor) ; Zivar, Davoud (Co-Supervisor)
Abstract
Mass or large-scale storage of hydrogen, as a clean source of energy, should be conducted in underground formations in order to be used as a reliable energy source at the peak of consumption. In this regard, underground formations such as aquifers and depleted hydrocarbon reservoirs are the most favorable and secured media for hydrogen storage. However, detailed understanding of the flow dynamics of hydrogen-water in these media is critical to maximize hydrogen storage and recovery and tackle the existing uncertainities which exist in the flow functions. To fill this gap, this research aims at a detailed pore-scale investigation of the effect of flow regime, hydrogen compressibility, and...