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