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Applications of Monte Carlo Method in Science and Engineering
Edited by Shaul Mordechai, ISBN 978-953-307-691-1, Hard cover, 950 pages, Publisher: InTech, Published: February 28, 2011 under CC BY-NC-SA 3.0 license, in subject Numerical Analysis and Scientific Computing
DOI: 10.5772/1954
In this book, Applications of Monte Carlo Method in Science and Engineering, we further expose the broad range of applications of Monte Carlo simulation in the fields of Quantum Physics, Statistical Physics, Reliability, Medical Physics, Polycrystalline Materials, Ising Model, Chemistry, Agriculture, Food Processing, X-ray Imaging, Electron Dynamics in Doped Semiconductors, Metallurgy, Remote Sensing and much more diverse topics. The book chapters included in this volume clearly reflect the current scientific importance of Monte Carlo techniques in various fields of research.
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Book contents
- Chapter 1Monte Carlo Simulations in NDT
- Chapter 2Application of Monte Carlo Simulation in Optical Tweezers
- Chapter 3Enabling Grids for GATE Monte-Carlo Radiation Therapy Simulations with the GATE-Lab
- Chapter 4Monte Carlo Simulation for Ion Implantation Profiles, Amorphous Layer Thickness Formed by the Ion Implantation, and Database Based on Pearson Function
- Chapter 5Application of Monte Carlo Simulation in Industrial Microbiological Exposure Assessment
- Chapter 6Monte Carlo Simulation of Radiative Transfer in Atmospheric Environments for Problems Arising from Remote Sensing Measurements
- Chapter 7Monte Carlo Simulation of Pile-up Effect in Gamma Spectroscopy
- Chapter 8Monte Carlo Simulations of Microchannel Plate–Based, Time-Gated X-ray Imagers
- Chapter 9Many-particle Monte Carlo Approach to Electron Transport
- Chapter 10Monte-Carlo Simulation in Electron Microscopy and Spectroscopy
- Chapter 11Monte Carlo Simulation of SEM and SAM Images
- Chapter 12Monte Carlo Simulation of Insulating Gas Avalanche Development
- Chapter 13Monte Carlo Simulation of Electron Dynamics in Doped Semiconductors Driven by Electric Fields: Harmonic Generation, Hot-Carrier Noise and Spin Relaxation
- Chapter 14A Pearson Effective Potential for Monte-Carlo Simulation of Quantum Confinement Effects in nMOSFETs
- Chapter 15Monte Carlo Device Simulations
- Chapter 16Wang-Landau Algorithm and its Implementation for the Determination of Joint Density of States in Continuous Spin Models
- Chapter 17Characterizing Molecular Rotations using Monte Carlo Simulations
- Chapter 18Finite-time Scaling and its Applications to Continuous Phase Transitions
- Chapter 19Using Monte Carlo Method to Study Magnetic Properties of Frozen Ferrofluid
- Chapter 20Monte Carlo Studies of Magnetic Nanoparticles
- Chapter 21Monte Carlo Simulation for Magnetic Domain Structure and Hysteresis Properties
- Chapter 22Monte Carlo Simulations of Grain Growth in Polycrystalline Materials Using Potts Model
- Chapter 23Monte Carlo Simulations of Grain Growth in Metals
- Chapter 24Monte Carlo Simulations on Defects in Hard-Sphere Crystals Under Gravity
- Chapter 25Atomistic Monte Carlo Simulations in Steelmaking: High Temperature Carburization and Decarburization of Molten Steel
- Chapter 26GCMC Simulations of Gas Adsorption in Carbon Pore Structures
- Chapter 27Effect of the Repulsive Interactions on the Nucleation and Island Growth: Kinetic Monte Carlo Simulations
- Chapter 28Monte Carlo Methodology for Grand Canonical Simulations of Vacancies at Crystalline Defects
- Chapter 29Frequency-Dependent Monte Carlo Simulations of Phonon Transport in Nanostructures
- Chapter 30Performance Analysis of Adaptive GPS Signal Detection in Urban Interference Environment using the Monte Carlo Approach
- Chapter 31Practical Monte Carlo Based Reliability Analysis and Design Methods for Geotechnical Problems
- Chapter 32A Monte Carlo Framework to Simulate Multicomponent Droplet Growth by Stochastic Coalescence
- Chapter 33Monte Carlo Simulation of Room Temperature Ballistic Nanodevices
- Chapter 34Estimation of Optical Properties in Postharvest and Processing Technology
- Chapter 35MATLAB Programming of Polymerization Processes using Monte Carlo Techniques
- Chapter 36Monte Carlo Simulations in Solar Radio Astronomy
- Chapter 37Using Monte Carlo Simulation for Prediction of Tool Life
- Chapter 38Loss of Load Expectation Assessment in Electricity Markets using Monte Carlo Simulation and Neuro-Fuzzy Systems
- Chapter 39Automating First- and Second-order Monte Carlo Simulations for Markov Models in TreeAge Pro
- Chapter 40Monte Carlo Simulations of Adsorbed Molecules on Ionic Surfaces
