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    Theoretical Prediction of Free-Energy for Complex Macromolecules Self-Assembly

    , M.Sc. Thesis Sharif University of Technology Khoroush, Keyvan (Author) ; Tafazzoli, Mohsen (Supervisor) ; Ejtehadi, Mohammad Reza (Supervisor)
    Abstract
    These days, self-assembly is one of the most significant phenomena in chemistry and biology. Although There are some Experiments and Simulations which help us to understand self-assembly much more than before, their mechanism is poorly understood. As a result, Calculating Free-energy landscape could be a great development in this area.We use the Flat-histogram monte Carlo algorithm to calculate the density of states of a complex system. In this way, there is a comparison between the exact density of states of Ising Model and the same quantities that are obtained from Flat histogram Method. After that, there would be a combination of statistical thermodynamics and Graph theory toward drawing... 

    The Prediction Branching Polypropylene Monte Carlo Method

    , M.Sc. Thesis Sharif University of Technology Faraji, Hamed (Author) ; Mousavi, Ali (Supervisor)
    Abstract
    Linear structure of polypropylene, which is a direct result of Ziegler-Natta catalysts, led to the melt strength of the polymer is low and it does not show hardness strain. This defect is cause to the use of polypropylene in some processes, such as thermoforming, making foam etc. are limited. A main methods to solve this defect are branching structure of the polymer. There are three general methods for this purpose, which are modified by chemical, electron beam irradiation and polymerization in the presence of metallocene catalyst. The first two methods that past processing, polypropylene branching using linear type is produced, while the third method branching occurs during polymerization.... 

    Tool Life Prediction Using Bayesian Updating

    , M.Sc. Thesis Sharif University of Technology Rahmanpanah, Hadi (Author) ; Akbari, Javad (Supervisor)
    Abstract
    Traditional tool life models and wear prediction do not take into account the variation inherent in metal cutting processes. These lead to additional manufacturing costs. This research presents a stochastic method for both tool life and tool wear prediction. In the first part, Bayesian inference is applied to estimate the two model constants of Taylor tool life prediction model using a discrete grid method. Tool wear tests are performed using an uncoated M42 HSS tool and AISI 1018 carbon steel work material. Test results are used to update initial beliefs about the constants and the updated beliefs are then used to predict tool life using a probability density function (pdf). Finally, the... 

    Lifting Body Reentry Vehicle Guidance in Landing using Fuzzy Algorithms

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Hamid Reza (Author) ; Asadian, Nima (Supervisor)
    Abstract
    In this thesis, active guidance of a reentry vehicle using fuzzy logic is investigated. The guidance commands of the reentry vehicle (pitch and bank angles) are computed based on estimation of the final conditions, including range and cross-range errors and time-to-go. The final conditions are predicted utilizing a neural network. Inputs of this neural network are the current states of the vehicle and flight time. The first advantage of this approach is that no reference trajectory is required, which is mostly generated optimally for ideal conditions. Moreover, the methods based on keeping the nominal trajectory produce severe guidance commands for sudden disturbances (e.g. wind gusts),... 

    Study of Light Depolarization in Biological Tissue by Means of the Monte Carlo Simulation

    , M.Sc. Thesis Sharif University of Technology Ghasemi Taree, Maryam (Author) ; Amjadi, Ahmad (Supervisor) ; Ansari, Mohammad Ali (Supervisor)
    Abstract
    In this project, polarization properties, intensity of reflected light, by one layer tissue that has specified optical properties has been investigated by means of Monte Carlo simulation. Fresnel's coefficients were considered in this simulation too. The incident beam was assumed very thin with specified wave length and linear polarization parallel to plane of incidence.This beam was radiated from origin to the tissue vertically. The layer consists of homogenous particles with defined radius. Concentration of particles was constant. 10000 photons with specified weight were launched to tissue in each simulation. The results of reflected light from tissue showed that variation of the size and... 

    Theoretical Study of Solvent and Substituent Effects on Kinetic and Mechanism of Organic Reactions and Theoretical Study of Enzyme Reactions

    , Ph.D. Dissertation Sharif University of Technology Irani, Mehdi (Author) ; Gholami, Mohammad Reza (Supervisor)
    Abstract
    Computational chemistry is used to study solvent and substituent effects on kinetics and mechanism of some organic reactions. It also is used to study enzyme reactions and enzyme structures. Organic reactions were studied by ab initio quantum mechanics and Monte Carlo simulations. The enzyme studies were done by QM/MM and MD methods in Lund University. The studied organic reactions are 1) Reactions of hydroxylamine and aminoxide anion with methyl iodide. 2) Rearrangement of allyl p-tolyl ether. 3) Reactions of 1,4-Benzoquinone with Cyclopentadiene and Cyclohexadiene derivatives and reaction of cyclopentadiene and vinyl acetate. In the enzyme studies the catalytic reaction of Glyoxalase... 

    A Study of the Phase Diagram of the Hubbard Model Using Modern Numerical Methods

    , M.Sc. Thesis Sharif University of Technology Manavi, Alireza (Author) ; Vaezi, Mir Abolhassan (Supervisor)
    Abstract
    The Hubbard model is one of the simplest interacting models in theoretical physics, especially condensed matter physics which despite its simplicity, its solutions are highly nontrivial and intractable. After 5 decades since its introduction, its phase diagram is not fully understood and whether or not, it has a high-temperature superconducting phase. In this thesis, we aim to employ the recent advances in machine learning and GPU programming to accelerate the QMC method. By accelerated QMC methods, we can explore the Hubbard model's phase diagram more efficiently. Using massive parallelization of the GPUs can speed up the measuring process by several times. The self-learning quantum... 

    Modeling and Optimization of Respiratory-Gated Proton Therapy for Breast Cancer Using Monte Carlo Simulation

    , Ph.D. Dissertation Sharif University of Technology Piruzan, Elham (Author) ; Vosoughi, Naser (Supervisor) ; Mahani, Hojjatollah (Supervisor)
    Abstract
    Breast cancer is the most common cancer among women and has a growing rate. A combination of the proton beam and Accelerated partial breast irradiation (APBI) strategy can be effective in the case of the respiratory-induced target motion for breast cancer treatment. Due to the proximity of breast tissue to the two critical organ at risks (OARs) such as the lungs and heart, breast cancer proton therapy requires special considerations. The use of proton therapy with respiratory considerations (respiratory-gated), although a powerful way to control the mobile targets in breast cancer proton therapy, but needs to be optimized and improved as much as efficiency.The simulation and modeling of the... 

    Continuous Time Modeling of Marked Events

    , Ph.D. Dissertation Sharif University of Technology Hosseini, Abbas (Author) ; Rabiee, Hamid Reza (Supervisor)
    Abstract
    A great deal of information are continuously generated by users in different contexts such as social networks and online service providers in terms of temporal marked events. These events indicate that what happened to who by when and where.Modeling such events and predicting future ones has interesting applications in different domains such as item recommendation in online service providers and trending topic prediction in online social networks. However, complex longitudinal dependencies among such events makes the prediction task challenging. Moreover, nonstationarity of generative model of events and large size of events, makes the modeling and learning the models challenging.In this... 

    Calculation of Pulse Height Distribution by Deterministic and Monte Carlo Methods

    , M.Sc. Thesis Sharif University of Technology Akhavan, Azade (Author) ; Vosoughi, Naser (Supervisor)
    Abstract
    Radiation detection techniques have important applications including prompt gamma neutron activation analysis (PGNAA), radiotherapy dose measurement, medical imaging and homeland security. Pulse height distribution is also a useful parameter in Radionuclide identification. Gamma ray spectroscopy analysis is a common technique in measuring of radiation field to identify the radioactive source.
    Probabilistic methods are commonly used for numerical simulation of Pulse height distribution. In Monte Carlo methods, each history is individually tracked and details of interactions are available. Using the Monte Carlo methods for calculation of pulse height distribution leads to more real... 

    Neutronics Calculations of Prismatic High-temperature Gas Cooled Reactor by Deterministic Method Using DONJON and DRAGON Codes and Comparison with Results of Probabilistic Methods (Monte Carlo).

    , M.Sc. Thesis Sharif University of Technology Mansouri Hassan Abadi, Javad (Author) ; Ghofrani, Mohammad Bagher (Supervisor)
    Abstract
    HTGRs are considered as 4th generation reactors which have prominent characteristics such as inherent safety, lower safety costs, High efficiency and high temperature applications. the most important challenges in developing these reactors is providing appropriate codes in design, simulating their performance and analysis of them. In this thesis, a japanese prismatic HTTR reactor has been selected as a reference reactor and the neurotic’s calculations implementation studied at cold zero power (CZP) and hot full power (HFP) states using DRAGON cell calculation codes and DONJON core computations. At CZP state, One group and two group radial & axial flux distribution, control rod critical... 

    Design of Sustainable Electronic Waste Management System

    , M.Sc. Thesis Sharif University of Technology Vatani, Zhaleh (Author) ; Avami, Akram (Supervisor)
    Abstract
    The growing amounts of generation of electronic wastes (e-waste) and their increasing environmental impacts require a special optimal waste management strategy. Many different methods have been developed to managing e-waste. To make the best choices according to the conditions of each system, having an adequate knowledge of all methods and comparing them is the most important point. This research aims to design a system for managing e-waste by selecting mobile phones as an example of electronic waste and find the optimal condition of the system to increase economic benefits and reduce environmental impact. Recycling and landfill are selected as the main methods in this project. Four lines... 

    Tolerance Design of Mechanical Systems based on Reliability Modeling under Bayesian Inference

    , M.Sc. Thesis Sharif University of Technology Ghaderi, Aref (Author) ; Khodaygan, Saeed (Supervisor) ; Assempour, Ahmad (Supervisor)
    Abstract
    Mechanical production centers are seeking to produce the highest quality products at the lowest cost. Intrinsic processes of manufacturing are not precise processes, and factors such as tool wear, tool vibration and fixation, fixing defects, and other factors that occur during production, make the pieces deviate from the designer's desirable geometry. Usually, due to deviations of parts from their size, their dimensional and geometric characteristics change. Because the components are rarely just a part, often in the majority of parts of the assembly, the operation of the set may be impaired due to the accumulation of changes. Errors that are usually caused during component assembly due to... 

    Optimum Design, Simulation and Performance Evaluation of Animal PET System

    , M.Sc. Thesis Sharif University of Technology Ghahramani, Peyman (Author) ; Vosoughi, Naser (Supervisor) ; Ay, Mohammad Reza (Supervisor)
    Abstract
    PET systems are a kind of functional nuclear medicine instruments. In this systems a radionuclide is injected to body and output gamma rays is detected. PET can recognise cancer 10 times earlier than other imaging systems such as CT scan also the treatment plan can followed by PET. In the last two decades, the use of small-animal models in the field of biomedical research for studying disease have accelerated and dedicated small animal PET systems have started playing their role as strong imaging modalities in investigating cellular and molecular processes in live animals. Animal and human PETs have similar technology just human PET is bigger, so at this project, animal PET is designed for... 

    Re-entry Vehicle Control Algorithm Design Using Non-linear Dynamic Inversion

    , M.Sc. Thesis Sharif University of Technology Manafi, Mahdi (Author) ; Fathi, Mohsen (Supervisor) ; Assadian, Nima (Supervisor)
    Abstract
    This thesis is about guiding and controlling the six-degrees of freedom of the reentry vehicle with focus on designing controller by using non-linear dynamic inversion method. Intended reentry vehicle is Apollo which is a reentry capsule without wing and with lifted body and also the proportion of lift to drag is low. Guiding variable instruction, the angle of rolling and constant, are the side slip and attack which reentry vehicle must follow these instructions with the help of controller and with regard to the rotational dynamic of the vehicle. In this thesis more exact six-degrees-freedom model of the vehicle is extracted and the controlling system to
    stabilize and to follow guidance... 

    Monte Carlo Simulation of Deposition of the Carbon Thin Films by Asymmetric Molecules

    , M.Sc. Thesis Sharif University of Technology Amiri, Mehdi (Author) ; Vesaghi, Mohammad Ali (Supervisor)
    Abstract
    The applications of science and technology of materials grows rapidly nowadays One of the major aspect of this science discuss about the growth of thin films via deposition of molecules and atoms. By this way we can diagnose physical and chemical properties of thin films whose applications in electronics, computer, microelectronic industry, material engineering telecommunications and so advances every day. In this way we smell out the process of the growth of diamond like carbon (DLC) thin films whose importance is extended nowadays. By acknowledgement of variables that influence the dynamics of film formation we make a big jump in attaining the optical, physical and electrical properties of... 

    Organ Body Dose Simulation Using Monte Carlo Code EGS5 and Human Phantom and Bench-Marking with TL Dosimetry

    , M.Sc. Thesis Sharif University of Technology Gilani, Nima (Author) ; Sohrabpour, Mostafa (Supervisor) ; Mahdavi, Rabie (Supervisor)
    Abstract
    Varian Clinac 2100 accelerator head was simulated using EGS5 Monte Carlo code. Phase space method was applied to this simulation. Two phase space plates were used in these simulations; one was inserted before the moveable jaws and the other one was placed after the jaws. The first plate was simulated for energy. And the second plate was to simulate each field size at the set energy. In the phase space method used in the EGS5 code one extracts the particle parametric information from a file as opposed to following the original particles that start at the source point. It is expected that this file to be a replica of the particles that pass the plate and further it should not add any... 

    Simulation of Intensity Modulated Radiation Therapy (IMRT) and Assessment of the Time Parameter

    , M.Sc. Thesis Sharif University of Technology Shahi Maynbolagh, Rezgar (Author) ; Vosoughi, Naser (Supervisor) ; Mahdavi, Rabi (Supervisor) ; Robat Jazi, Mostafa (Co-Advisor)
    Abstract
    It is necessary to evaluate dosimetry accuracy in the framework of advanced methods for radiation therapy such as Intensity Modulated Radiation Therapy (IMRT) to ensure reliability of a proposed treatment. The ability of the Monte Carlo codes to model linear accelerator (LINAC) and to calculate the exact dose distribution in clinical radiation therapy is one of the reasons to use such codes. The purpose of this project is to validate a treatment planning system with BEAMnrc and DOSXYZnrc Monte Carlo codes. In this study, the dose distribution obtained from DOSXYZnrc in considered to be thr main criterion with which the dose distribution obtained from treatment planning system is assessed and... 

    Design of Multi-purpose Gamma Irradiator System Based on Combined Monte Carlo Geant4 and GPU Hardware

    , M.Sc. Thesis Sharif University of Technology Razimanesh, Masoud (Author) ; Sohrabpour, Mostafa (Supervisor)
    Abstract
    Gamma irradiation systems are used extensively in the industry in order to sterilize medical devices, disinfect hygienic materials or increase the shelf life of agricultural produce. The method of gamma irradiation is superior to the older methods of heat or chemical treatment because it is by far a simpler operation. In this method only a single parameter of time is controlled whereas in the other mentioned methods five or six different parameters need to be controlled. The design of irradiation systems including the size, location of products and arrangement of source rack pencils. In order to optimize the design it is needed to study the products dose distribution in a wide range of... 

    Exact Simulation of Varian Clinac 2100C/D with Use of Phase Space file and Representation of Appropriate Source Model for Clinical Applications

    , Ph.D. Dissertation Sharif University of Technology Ezzati, Ahadollah (Author) ; Sohrabpour, Mostafa (Supervisor) ; Rabi Mahdavi, Saeed (Co-Advisor)
    Abstract
    MC Simulation is considered to be one of the most accurate methods for transport of radiation in various media. Computational speed is the limiting factor to apply the MC method in clinical settings. One of the methods to increase the speed in MC simulations is the use of phase space file (PSF). PSF is generated by transporting the particles through the linear accelerator head. The characteristics of these particles crossing a reference plane are stored in the PSF file. The PSF can be used in subsequent simulations as a radiation source. The use of PSF is effective but has a drawback of having latent variance. Latent variance is a problem inherent in using phase space files. Latent variance...