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    New insight into H2S sensing mechanism of continuous SnO2-CuO bilayer thin film: A theoretical macroscopic approach

    , Article Journal of Physical Chemistry C ; Volume 120, Issue 14 , 2016 , Pages 7678-7684 ; 19327447 (ISSN) Boroun, Z ; Ghorbani, M ; Moosavi, A ; Mohammadpour, R ; Sharif University of Technology
    American Chemical Society  2016
    Abstract
    SnO2-CuO is one the most promising systems for detection of detrimental H2S gas. Although previous experimental research has suggested a sulfidation reaction to explain selectivity toward H2S, little is known about the origin of change of electrical response of this system by changing the H2S gas concentration. In this study the relation between sensing response of continuous SnO2-CuO bilayer thin film and H2S gas concentration is computed based on changeability of chemical composition of covellite CuxS. For this purpose, chemical activity of sulfur as a function of atomic fraction in covellite copper sulfide is estimated using Gibbs energies of formation and chemical thermodynamics. By... 

    Origin of working temperature in H2S sensing process of SnO2-CuO thin bilayer: A theoretical macroscopic approach

    , Article Sensors and Actuators, B: Chemical ; Volume 252 , 2017 , Pages 944-950 ; 09254005 (ISSN) Boroun, Z ; Ghorbani, M ; Mohammadpour, R ; Moosavi, A ; Sharif University of Technology
    Elsevier B.V  2017
    Abstract
    Resistive sensors composed of SnO2 and CuO, are known to be highly efficient in detection of detrimental H2S gas in terms of sensitivity, selectivity and speed. Recently, dependency of electrical response of the sensor toward H2S gas concentration has been related to the selective mechanism (formation of CuS) by a theoretical model. Another important factor in design of gas sensors is the working temperature which so far has not been explicitly explained for H2S sensing process of SnO2-CuO system. In present study, origin of this temperature for SnO2-CuO thin bilayer based on the selective mechanism has been theoretically interpreted. For this purpose, Poisson, Laplace and continuity... 

    Probabilistic analysis of long-term climate drought using steady-state markov chain approach

    , Article Water Resources Management ; Volume 34, Issue 15 , 2020 , Pages 4703-4724 Azimi, S ; Hassannayebi, E ; Boroun, M ; Tahmoures, M ; Sharif University of Technology
    Springer Science and Business Media B.V  2020
    Abstract
    This study presents a steady-state Markov chain model to predict the long-term probability of drought conditions. The research aims to propose a rigorous framework for statistical analysis of drought characteristics and its trends over time for a large area of aquifers and plains in Iran. For this purpose, two meteorological indicators called the Standardized Precipitation Index (SPI), and the Groundwater Resource Index (GRI) are examined. The groundwater drought study includes more than 26,000 wells in about 600 meteorological stations over 20 years being surveyed daily. This study discusses the spatial interpolation of drought steady-state probabilities based on recorded SPI and GRI data... 

    Importance of N-P-N junction in H2S sensing process of SnO2-CuO heterostructures: A theoretical macroscopic approach

    , Article IEEE Sensors Journal ; Volume 21, Issue 6 , 2021 , Pages 7123-7129 ; 1530437X (ISSN) Boroun, Z ; Ghorbani, M ; Mohammadpour, R ; Moosavi, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    Metal-oxide gas sensors are widely used for detection of detrimental H2S gas. Among them, SnO2-CuO system has been proved to be an excellent candidate. The previous theoretical 2D thin bilayer model was able to explain some aspects of H2S sensing performance of this promising system. However, experimental researches have indicated that response values for this system are very diverse and various SnO2-CuO multicomponent heterostructures such as rods, wires and particles have much higher response than their thin bilayer counterparts. Understanding the reason behind this differences would help fabrication of optimized sensor element. However, the previous model cannot address this issue mainly... 

    Modeling for Sensing Behavior of SnO2-CuO Nanostructures toward H2S Gas

    , Ph.D. Dissertation Sharif University of Technology Boroun, Zhoubin (Author) ; Ghorbani, Mohammad (Supervisor) ; Moosavi, Ali (Supervisor) ; Mohammadpour, Raheleh (Supervisor)
    Abstract
    H2S is a toxic and corrosive gas which is detrimental for both human’s health and some of important industries such as oil and gas. Based on different experimental research among various systems, resistive sensors fabricated from SnO2-CuO nanostructures have promising performance toward detection of this gas. High sensitivity and selectivity, response time of order of seconds, recovery times of order of tens of seconds and determining concentration of H2S gas below ppm level are advantages of this system. Unfortunately due to lack of a theoretical model, current experimental researches are excessively based on “trial and error” methodology. In this research some of the basic questions which... 

    An efficient heuristic method for joint optimization of train scheduling and stop planning on double-track railway systems

    , Article INFOR ; Volume 58, Issue 4 , 2020 , Pages 652-679 Boroun, M ; Ramezani, S ; Farahani, N. V ; Hassannayebi, E ; Abolmaali, S ; Shakibayifar, M ; Sharif University of Technology
    University of Toronto Press  2020
    Abstract
    In this study, a new mathematical programming approach for solving the joint timetabling and train stop planning problem in a railway line with double-track segments is proposed. This research aims to design an optimized train timetable subject to the station- capacity and time-dependent dwell time constraints. The objective function is to maximize the railway infrastructure capacity by minimizing the schedule makespan. The problem is formulated as a particular case of blocking permutation flexible flow shop scheduling model with dynamic time window constraints. Due to the combinatorial nature of the problem, heuristic algorithm and bound tightening methods are proposed that generate...