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ahmadzadeh-bakhshayesh--hossein
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| # | Type | Title | Author | Publisher | Pub. Year | Subjects | Call Number |
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| 1 | پایان نامه |
بررسی اندرکنش بین نابجایی ها و ناهمگنی ها با درنظرگیری اثر سطح در مقیاس نانو
Studying the Interaction Between Dislocation Sandin Homogeneities in Nano-Scale, by Incorporating Surface Effect |
احمدزاده بخشایش، حسین Ahmadzadeh Bakhshayesh, Hossein | صنعتی شریف | 1390 | اثر سطح Surface Effect / نانوسیم Nanowire / نانومواد Nanomaterials / نابجایی سطح Stepped Substrate / ابعاد نانو Nano Sized / ناهمگنی بیضوی Elliptical Inhomogeneity |
09-42545
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| 2 | مقاله | Surface/interface effects on elastic behavior of a screw dislocation in an eccentric core-shell nanowire | Ahmadzadeh Bakhshayesh, H. | 2012 |
Core-shell nanowire.
Screw dislocation. Classical theory. Complex potentials. Core-shell. Core-shell interface. Core-shell nanowires. Dislocation behaviors. Elastic behavior. Equilibrium positions. Image force. Interface stress. Outer surface. Stress effects. Stress field. Surface stress. Conformal mapping. Elastic moduli. Elasticity. Screw dislocations. Screws. Shells (structures) Stresses. Nanowires. |
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| 3 | مقاله | Electrochemical behavior of S-doped nanostructured TiO2 layer synthesized with PEO process for photocatalytic applications | Ahmadzadeh, M. | 2014 |
EIS.
Micro-nanoporous. Photocatalysis. Plasma electrolytic oxidation. S-doped TiO2. Electrochemical behaviors. Electrolyte concentration. Photocatalytic application. Photocatalytic property. S-doped TiO. Electrochemical impedance spectroscopy. Electrolysis. Nanostructured materials. Titanium dioxide. Electrochemical corrosion. |
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| 4 | پایان نامه | بررسی خواص الکتروشیمیایی و فتوکاتالیستی پوشش های دی اکسید تیتانیوم دوپ شده با وانادیوم و گوگرد به روش اکسیداسیون پلاسمای الکترولیتی Electrochemical and Photocatalytic Behaviour of V&S Doped Titania Produced with Plasma Electrolytic Oxidation | احمدزاده، محمد Ahmadzadeh, Mohammad | صنعتی شریف | 1392 | دی اکسید تیتانیم Titanium Dioxide / تخلخل Porosity / اکسایش پلاسمای الکترولیتی Plasma Electrolytic Oxidation / طیف نمایی الکتروشیمیایی امپدانس Electrochemical Impedance Spectroscopy / لایه های آلاییده با وانادیوم Vanadium Doped Layers / لایه های آلاییده با گوگرد Sulphure Doped Layers |
07-45773
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| 5 | مقاله | A competitive inexact nonmonotone filter SQP method: convergence analysis and numerical results | Ahmadzadeh, H. | Taylor and Francis Ltd, | 2021 |
Efficiency.
MATLAB. Quadratic programming. Software testing. Convergence analysis. Equality constraints. Global conver-gence. Linear approximations. Nonlinear programming problem. Objective functions. Rate of convergence. Successive Quadratic Programming algorithms. Convergence of numerical methods. |
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| 6 | مقاله | A new inexact nonmonotone filter sequential quadratic programming algorithm | Ahmadzadeh, H. | Springer, | 2021 |
Iterative methods.
Constraint violation. Inexact methods. Non-linear optimization. Nonmonotone. Nonmonotone filter. Penalty function. Search direction. Sequential quadratic programming. Sequential quadratic programming algorithm. Steering direction. Quadratic programming. |
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| 7 | مقاله | A competitive inexact nonmonotone filter SQP method: convergence analysis and numerical results | Ahmadzadeh, H. | Taylor and Francis Ltd, | 2021 |
Efficiency.
MATLAB. Quadratic programming. Software testing. Convergence analysis. Equality constraints. Global conver-gence. Linear approximations. Nonlinear programming problem. Objective functions. Rate of convergence. Successive Quadratic Programming algorithms. Convergence of numerical methods. |
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| 8 | مقاله | A new inexact nonmonotone filter sequential quadratic programming algorithm | Ahmadzadeh, H. | Springer, | 2021 |
Iterative methods.
Constraint violation. Inexact methods. Non-linear optimization. Nonmonotone. Nonmonotone filter. Penalty function. Search direction. Sequential quadratic programming. Sequential quadratic programming algorithm. Steering direction. Quadratic programming. |
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| 9 | مقاله | A competitive inexact nonmonotone filter SQP method: convergence analysis and numerical results | Ahmadzadeh, H. | Taylor and Francis Ltd, | 2022 |
Exact penalty function.
Filter. Global convergence. Inexact SQP method. Nonmonotone algorithm. Superlinear local convergence. Convergence of numerical methods. MATLAB. Quadratic programming. Software testing. Exact penalty function. Exact penalty functions. Filter. Global conver-gence. Inexact successive quadratic programming method. Local Convergence. Nonmonotone. Nonmonotone algorithm. Quadratic programming method. Successive quadratic programming. Superlinear. Superlinear local convergence. Efficiency. |
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| 10 | مقاله | Fast and scalable quantum computing simulation on multi-core and many-core platforms | Ahmadzadeh, A. | Springer, | 2023 |
GPU.
Many-core. Quantum computing simulation. |
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| 11 | مقاله | Performance analysis and modeling for quantum computing simulation on distributed GPU platforms | Ahmadzadeh, A. | 2024 |
GPU.
Multi-GPU systems. Cluster computing. Computer graphics equipment. Graphics processing unit. Particle beams. Quantum electronics. Quantum optics. Qubits. Scalability. System-on-chip. Core systems. Graphics processing. Hybrid parallel architectures. Many-core. Many-core system. Multi-graphic processing unit system. Processing units. Quantum circuit. Quantum computing. Simulation. Unit systems. Parallel architectures. |
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| 12 | مقاله | Comparative study of application of different supervised learning methods in forecasting future states of NPPs operating parameters | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2019 |
Bayesian regularization.
Cascade feed-forward neural network. Gaussian function. Localized networks. NPP parameters forecasting. Support vector regression. Backpropagation. Bayesian networks. Conjugate gradient method. Distribution functions. Forecasting. Gaussian distribution. Loss of coolant accidents. Machine learning. Nuclear fuels. Nuclear power plants. Reactor cores. Time series. Feed-forward back propagation. Gaussian functions. Large break loss of coolant accidents. Scaled conjugate gradients. Supervised learning methods. Support vector regression (SVR) Time series prediction. Learning algorithms. |
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| 13 | مقاله | Development of a novel analytical method for calculating the dose equivalent rate as a case study of fields which obey the inverse square law | Moshkbar Bakhshayesh, K. | Institute of Physics Publishing, | 2019 |
Dosimetry concepts and apparatus.
Models and simulations. Inverse problems. Numerical methods. Analytical calculation. Analytical method. Dose calculation. Inverse square law. Monte Carlo codes. Monte Carlo techniques. Radiation source. Rectangular surfaces. Monte Carlo methods. |
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| 14 | مقاله | Calculating the dose equivalent of coordinate surfaces of the Cartesian geometry: A new analytical method compared with Monte Carlo method | Moshkbar Bakhshayesh, K. | Institute of Physics Publishing, | 2019 |
Gamma rays.
Analytical calculation. Cartesian geometry. Monte Carlo codes. Monte Carlo techniques. Parametric -analysis. Radiation emitters. Rectangular shapes. Rectangular surfaces. Monte Carlo methods. |
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| 15 | مقاله | Bayesian regularization of multilayer perceptron neural network for estimation of mass attenuation coefficient of gamma radiation in comparison with different supervised model-free methods | Moshkbar Bakhshayesh, K. | IOP Publishing Ltd, | 2020 |
Calibration.
Cluster finding. Fitting methods. Pattern recognition. Decision trees. Distribution functions. Gamma rays. Learning algorithms. Multilayers. Support vector machines. Trees (mathematics) Bayesian regularization. Cumulative distribution function. Lightweight materials. Mass attenuation coefficients. Mean relative error. Multilayer perceptron neural networks. Radial basis networks. Supervised methods. Multilayer neural networks. Interaction of radiation with matter. Radiation calculations. |
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| 16 | مقاله | Constructing energy spectrum of inorganic scintillator based on plastic scintillator by different kernel functions of SVM learning algorithm and TSC data mapping | Moshkbar Bakhshayesh, K. | Institute of Physics Publishing, | 2020 |
Particle detectors.
Pattern recognition. Scintillators and scintillating fibres and light guides. Gamma ray spectrometers. Ionization. Mapping. Optical fibers. Radioisotopes. Scintillation counters. Sodium Iodide. Spectroscopy. Support vector machines. Testing. Cross correlation techniques. Detection/identification. Fitting method. Gaussian kernel functions. High resolution detector. Liquid scintillator detectors. Plastic scintillator detector. Scintillating fibres. Radioactivity. Cluster finding. Calibration and fitting methods. |
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| 17 | مقاله | Development of an efficient technique for constructing energy spectrum of NaI(Tl) detector using spectrum of NE102 detector based on supervised model-free methods | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2020 |
Energy spectrum construction.
NaI (Tl) detector. NE102 detector. Radial basis network. Supervised model-free methods. Decision trees. Feedforward neural networks. Iodine compounds. Radioisotopes. Scintillation counters. Spectroscopy. Statistical methods. Support vector machines. Inorganic scintillator. Mapping functions. Multi layer perceptron. Organic scintillator. Radial basis networks. Resolution detectors. Supervised learning methods. Supervised methods. Learning systems. Americium 241. Cesium 137. Cobalt 60. Sodium 22. Sodium iodide. Controlled study. Decision tree. Learning algorithm. Multilayer perceptron. Radial basis function neural network. Radiation detection. Radiation energy. Spectrum. Support vector machine. |
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| 18 | مقاله | Prediction of unmeasurable parameters of NPPs using different model-free methods based on cross-correlation detection of measurable/unmeasurable parameters: a comparative study | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2020 |
Bayesian regularization.
Cross-correlation detection. Decision tree. Feed-forward back propagation neural network. Support vector machine. Unmeasurable parameters. Backpropagation algorithms. Control rods. Decision trees. Feed-forward neural networks. Forecasting. Gradient methods. Learning algorithms. Nuclear energy. Nuclear fuels. Nuclear power plants. Support vector machines. Torsional stress. Correlation techniques. Cross correlations. Feed-forward back-propagation neural networks. Gaussian kernel functions. Maximum temperature. Scaled conjugate gradients. Parameter estimation. |
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| 19 | مقاله | Performance study of bayesian regularization based multilayer feed-forward neural network for estimation of the uranium price in comparison with the different supervised learning algorithms | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2020 |
Bayesian regularization.
Feed-forward neural network. Generalization. Supervised learning methods. Uranium price estimation. Cost estimating. Decision trees. Distribution functions. Feed-forward neural networks. Multilayer neural networks. Multilayers. Nuclear fuels. Nuclear power plants. Support vector machines. Uranium. Cumulative distribution function. Mean relative error. Multilayer feed forward neural networks. Parameters estimation. Radial basis networks. Regularization technique. Supervised methods. Learning algorithms. |
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| 20 | مقاله | Identification of the appropriate architecture of multilayer feed-forward neural network for estimation of NPPs parameters using the GA in combination with the LM and the BR learning algorithms | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2021 |
Feedforward neural networks.
Genetic algorithms. Learning algorithms. Multilayer neural networks. Multilayers. Network architecture. Neurons. Nuclear energy. Nuclear fuels. Nuclear power plants. Accurate estimation. Bayesian regularization. Hidden layers. Levenberg-Marquardt. Levenberg-Marquardt learning algorithms. Multi-layer feedforward neural networks (MLFNN) Multilayer feed-forward neural network architecture. Nuclear power plant parameter estimation. Number of hidden neurons. Target parameter. Parameter estimation. |
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