Monte carlo simulations

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  • This new and updated deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics as well as in related fields, for example polymer science, lattice gauge theory and protein folding. After briefly recalling essential background in statistical mechanics and probability theory, the authors give a succinct overview of simple sampling methods. The next several chapters develop the importance sampling method, both for lattice models and for systems in continuum space....

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  • At present, thickness measurement of materials based on effect of backscattering gamma-ray has been widely used in industry in our country. The report presented research in measuring thickness of some materials such as paper, plastic, aluminum and steel with using the dedicated system of MYO-101, having scintillation detector of YAP(Ce) and gamma-ray of 60 keV of Am-241 source, by Monte-Carlo simulation using the code of MCNP. The simulation was checked by experimental measurements.

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  • Lecture Monte carlo simulations: Application to lattice models, part I - Basics. The main contents of this chapter include all of the following: Introduction, thermodynamics and statistical mechanics, phase transition, probability theory.

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  • Lecture Monte carlo simulations: Application to lattice models, part II - Monte carlo simulation methods. The main contents of this chapter include all of the following: The spin models, boundary conditions, simple sampling monte carlo methods, importance sampling monte carlo methods.

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  • Lecture Monte carlo simulations: Application to lattice models, part III - Finite size effects and reweighting methods. The main contents of this chapter include all of the following: Finite size effects, single histogram method, multiple histogram method, wang-Landau method, the applications.

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  • The system is put under a source of external perturbation called “noise”, the individuals can freely move from one site to another site on a two-dimension triangular lattice. We use the Monte-Carlo simulation technique for studying the behavior of the model with varying noise. For simplicity, we consider the orientation of individuals which has q states as in the Potts model. We show that the system has three phases which correspond to the uncollected, flocking and runaway behaviors at very low, medium and high noise, respectively. These phases are separated by two first-order transitions.

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  • The vapor-liquid equilibria of pure fluid hydrogen were predicted by Gibbs ensemble Monte Carlo simulation techniques using our two different ab initio intermolecular pair potentials. The ab initio intermolecular interaction potentials were obtained from coupled-cluster calculations.

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  • The virial coefficients of them described accurately by the ab initio Lennard-Jones and Morse-style potentials. These potentials were also used for prediction of thermodynamics properties of vapor-liquid equilibria by Gibbs Ensemble Monte Carlo simulation (GEMC). The simulation results were also compared to those from equation of state. The obtained results turned out to be good agreement with experimental data.

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  • The objective of this book is to introduce recent advances and state-of-the-art applications of Monte Carlo Simulation (MCS) in various fields. MCS is a class of statistical methods for performance analysis and decision making based on taking random samples from underly‐ ing systems or problems to draw inferences or estimations. Let us make an analogy by using the structure of an umbrella to define and exemplify the position of this book within the fields of science and engineering. Imagine that one can place MCS at the centerpoint of an umbrella and define the...

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  • The Texas Instrument TMS320VC5510 DSK’s calculation abilitiy with different program languages is investigated for minimum the DSP’s measurement time. The steps of Monte Carlo simulations embedded into the DSK’s flash through the DSK’s JTAG interface for optical parameters measurement including absorption coefficient µ a , scattering coefficient µ s and anisotropy g are presented. The obtained results for diluted milk standard samples are also reported.

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  • Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago.

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  • This work aims to calculate the effective atomic number and electron density by Monte Carlo method. In previous studies, the most widely used solution is to use the transmission method with the narrow gamma-ray beam.

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  • This work aims to investigate the feasibility of application of gamma scattering technique for inspecting density variation in some construction objects by Monte-Carlo simulation method. The gamma-ray sources of different energies and strengths have been used to extract the information of density variation for interior of sample by recording the backscattering gamma-rays with a gamma-ray detector. The results of our simulations confirm that the resolution for density variation in the inspected objects is quite good.

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  • This book provides an introduction to the theory and practice of Monte Carlo and Simulation methods. It arises from a 20 hour course given simultaneously to two groups of students. The first are final year Honours students in the School of Mathematics at the University of Edinburgh and the second are students from Heriot Watt and Edinburgh Universities taking the MSc in Financial Mathematics. The intention is that this be a practical book that encourages readers to write and experiment with actual simulation models.

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  • Chương 1 - Mô phỏng monte carlo (monte carlo simulation). Sau khi học xong chương này người học có thể: Nắm vững các khái niệm dùng trong mô phỏng Monte Carlo (Monte Carlo Simulation, MCS), ứng dụng MCS một cách thích hợp trong quản lý dự án & quản lý xây dựng. Mời các bạn cùng tham khảo.

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  • (BQ) Part 2 book "Business analytics" hass contents: Introduction to data mining, spreadsheet modeling and analysis, monte carlo simulation and risk analysis, linear optimization, applications of linear optimization, integer optimization, decision analysis.

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  • (BQ) Part 2 book "Management science" has contents: Optimization of network models, integer optimization, optimization of nonsmooth models, decision analysis, monte carlo simulation, optimization in simulation.

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  • The results indicate that sulphur and nitrogen atoms as well as π-electronic systems within the thiazole ring aided the interaction between the inhibitor molecules and the Fe surface. All the four thiazole molecules adsorbed in parallel orientations on Fe (110) surface which ensures strong interactions with Fe. The adsorption energies were in accord with the results obtained using quantum chemical calculations.

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  • (BQ) Part 2 book “Management science – The art of modeling with spreadsheets” has contents: Integer optimization, optimization of nonsmooth models, decision analysis, monte carlo simulation, optimization in simulation, optimization of network models.

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  • Monte Carlo calculation method can be used for resolving particle transport in matter, and particularly the transport of neutrons in the environment of the reactor core. The method has become more efficient because of high accuracy of updated nuclear data and fast development of advanced super-computing system. In this work, we would like to present calculations for kinematic characteristics of neutron transport in a typical configuration of the pressurized water reactor (PWR) fuel assembly based on the Monte-Carlo simulation method.

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