Monte Carlo simulations of backscattered electron coefficients and average penetration depths for Cu, Au, and Al under electron irradiation by Sami Mohammed Alsharari

Subjects: “…Monte Carlo simulations…”
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Molecular structures and adsorption of dyes on bismuth oxychloride surfaces using density functional theory and Monte Carlo dynamic simulation by Tadesse Lemma Wakjira, Abebe Belay Gemta, Kumneger Tadele, Gashaw Beyene Kassahun, Umer sherefedin, T. Gurumurthi, Tesfaye Feyisa

“…The adsorption behavior of different dyes (methylene blue (MB), methyl orange (MO) and methyl red (MR)) on the BiOCl surface was investigated through density functional theory calculations and Monte Carlo dynamic simulations. The results indicate that the majority of electrons within the dye molecules are involved primarily in bonding interactions, which contributes to a stable electronic configuration in aqueous environment. …”
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Multiobjective Core Reloading Pattern Optimization of PARR-1 Using Modified Genetic Algorithm Coupled with Monte Carlo Methods by Nadeem Shaukat, Ammar Ahmad, Bukhtiar Mohsin, Rustam Khan, Salah Ud-Din Khan, Shahab Ud-Din Khan

“…For an optimal reactor core reloading design strategy, an intelligent technique GA is coupled with the Monte Carlo (MC) code SuperMC developed by the FDS team in China for nuclear reactor physics calculations. …”
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Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography by S.I. Samarin, A.B. Konovalov, V.V. Vlasov, I.D. Solovyev, A.P. Savitsky, V.V. Tuchin

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Monte Carlo Simulation Strategies for Predicting CO/CH Adsorption onto Activated Carbons from Pure Gas Isotherms by José C.A. de Oliveira, Rafael B. Rios, Raúl H. López, Hugo R. Peixoto, Valéria Cornette, A. Eurico B. Torres, Célio L. Cavalcante, Diana C.S. Azevedo, Giorgio Zgrablich

“…The adsorption process for the pure gases and their mixtures was simulated using the Grand Canonical Monte Carlo (GCMC) method and the calculations were then used to analyze experimental isotherms for the pure gases and for mixtures with different molar fractions in the gaseous phase. …”
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Monte Carlo Evaluation of the Europa Clipper TID Margin Based on the Variability of the Jovian Radiation Environment With Application for Mission Design by A. Andersen, W. Kim, S. McClure, I. Jun

“…This study outlines a Monte Carlo calculation of the cumulative probability that the TID will deviate from the nominal value of 150 krad (Si) based on the lognormal distributions of electron fluxes observed in the Jupiter environment by the Galileo Energetic Particle Detector instrument. …”
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Environmental and health risk assessment of polycyclic aromatic hydrocarbons and toxic elements in the red sea using Monte Carlo simulation by F. Alshaima Sayed, Mohamed Hamdy Eid, Ahmed M. El-Sherbeeny, Gouda Ismail Abdel-Gawad, Essam A. Mohamed, Mostafa R. Abukhadra

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Studies on effective solar photovoltaic integration in distribution network with a blend of Monte Carlo simulation and artificial hummingbird algorithm by Ibrahim Cagri Barutcu, Gulshan Sharma, Emre Çelik, Pitshou N. Bokoro

“…In the lower level, the probability distribution functions (pdfs) for bus voltages and branch currents have been determined using the Monte Carlo simulation (MCS) to be employed in chance‐constrained probabilistic optimisation by taking into account solar radiation and power consumption uncertainties in the distribution networks (DNs). …”
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STOCHASTIC MODELING OF LIVING/CONTROLLED COPOLYMERIZATIONS IN TUBULAR REACTORS WITH LATERAL FEED by Matheus Dias de Carvalho, Tiago Silva Miranda Lemos, Jorge David Alguiar Bellido, Antonio Marcos de Oliveira Siqueira

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Simulación digital de procesos de construcción de estructura en concreto: casos de estudio práctico en Bogotá Digital simulation of concrete structure construction: practical case-... by Diego Echeverry, Holmes Páez, Harrison Mesa

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Pharmacokinetic/pharmacodynamic analysis of tedizolid phosphate against Staphylococcus aureus and Streptococcus pneumoniae in children, adolescents, and adults by Monte Carlo simulation by Xiao-Chen Wei, Ming-Feng Zhao, Hai-Rong Lv, Xia Xiao

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The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: ¹⁶⁶Ho Microspheres by Edoardo d’Andrea, Andrea Politano, Bartolomeo Cassano, Nico Lanconelli, Marta Cremonesi, Vincenzo Patera, Massimiliano Pacilio

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Fluorescence molecular imaging-guided photodynamic therapy for early breast cancer in the prone position: Feasibility evaluation with Monte Carlo simulations by Yugo Minegishi, Yasutomo Nomura

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Desarrollo de un modelo de planeación financiera para una compañía de alimentos utilizando simulación Monte Carlo by Luis David Delgado-Vélez

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A Monte Carlo simulation study of the impact of increasing the axial field of view on PET scanner sensitivity with various scintillating crystals by El Ouaridi Abdallah, Ait Elcadi Zakaria, Mkimel Mounir, Bougteb Mustapha, El Baydaoui Redouane

“…A standard PET system model with an AFOV of 15.9 cm was developed using the GATE Monte Carlo simulation toolkit (v9.2), along with detailed modelling of the NEMA NU 2-2018 sensitivity phantom. …”
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Optimum Design of Corona Ring of Composite Insulators Considering the Effect of Mutual Phases by Monte Carlo and Coordinate Search Intelligente Algorithms by Mostafa Khajavi, Sajad Bagheri, Asaad Shemshadi

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Simulación con Monte Carlo para dosimetría de 153Samario-HM en un modelo anatómico geométrico de rodilla humana by Hardy Pérez Alberto Ernesto, Eugenio Torres García, Consuelo Arteaga de Murphy, Martha Pedraza López

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Model Evaluation and Uncertainty Analysis of PM2.5 Components over Pearl River Delta Region Using Monte Carlo Simulations by Qian Wu, Xiao Tang, Lei Kong, Zirui Liu, Duohong Chen, Miaomiao Lu, Huangjian Wu, Jin Shen, Lin Wu, Xiaole Pan, Jie Li, Jiang Zhu, Zifa Wang

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Uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and Monte Carlo simulation: A case study by Xiaoyu Yi, Wenkai Feng, Yongjian Zhou, Wenxuan Wu, Jiachen Zhao

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Method for Determining the Model Order for Model Order Reduction of the Linear Parameter Varying Heat Conduction Model using the Monte Carlo Method by Akiyasu MIYAMOTO

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