Applications of Monte Carlo Method in Science and Engineering 1st Edition by Shaul Mordechai ISBN 9533076917 9789533076911 by Shlomo Mark, Shaul Mordechai, Editors 9533076917 instant download after payment.

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Product details:

ISBN 10: 9533076917

ISBN 13: 9789533076911

Author: Shaul Mordechai

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.

Table of contents:

1. Monte Carlo Simulations in NDT

2. Application of Monte Carlo Simulation in Optical Tweezers

3. Enabling Grids for GATE Monte-Carlo Radiation Therapy Simulations with the GATE-Lab

4. Monte Carlo Simulation for Ion Implantation Profiles, Amorphous Layer Thickness Formed by the Ion Implantation, and Database Based on Pearson Function

5. Application of Monte Carlo Simulation in Industrial Microbiological Exposure Assessment

6. Monte Carlo Simulation of Radiative Transfer in Atmospheric Environments for Problems Arising from Remote Sensing Measurements

7. Monte Carlo Simulation of Pile-up Effect in Gamma Spectroscopy

8. Monte Carlo Simulations of Microchannel Plate–Based, Time-Gated X-ray Imagers

9. Many-particle Monte Carlo Approach to Electron Transport

10. Monte-Carlo Simulation in Electron Microscopy and Spectroscopy

11. Monte Carlo Simulation of SEM and SAM Images

12. Monte Carlo Simulation of Insulating Gas Avalanche Development

13. Monte Carlo Simulation of Electron Dynamics in Doped Semiconductors Driven by Electric Fields: Harmonic Generation, Hot-Carrier Noise and Spin Relaxation

14. A Pearson Effective Potential for Monte-Carlo Simulation of Quantum Confinement Effects in nMOSFETs

15. Monte Carlo Device Simulations

16. Wang-Landau Algorithm and its Implementation for the Determination of Joint Density of States in Continuous Spin Models

17. Characterizing Molecular Rotations using Monte Carlo Simulations

18. Finite-time Scaling and its Applications to Continuous Phase Transitions

19. Using Monte Carlo Method to Study Magnetic Properties of Frozen Ferrofluid

20. Monte Carlo Studies of Magnetic Nanoparticles

21. Monte Carlo Simulation for Magnetic Domain Structure and Hysteresis Properties

22. Monte Carlo Simulations of Grain Growth in Polycrystalline Materials Using Potts Model

23. Monte Carlo Simulations of Grain Growth in Metals

24. Monte Carlo Simulations on Defects in Hard-Sphere Crystals Under Gravity

25. Atomistic Monte Carlo Simulations in Steelmaking: High Temperature Carburization and Decarburization of Molten Steel

26. GCMC Simulations of Gas Adsorption in Carbon Pore Structures

27. Effect of the Repulsive Interactions on the Nucleation and Island Growth: Kinetic Monte Carlo Simulations

28. Monte Carlo Methodology for Grand Canonical Simulations of Vacancies at Crystalline Defects

29. Frequency-Dependent Monte Carlo Simulations of Phonon Transport in Nanostructures

30. Performance Analysis of Adaptive GPS Signal Detection in Urban Interference Environment using the Monte Carlo Approach

31. Practical Monte Carlo Based Reliability Analysis and Design Methods for Geotechnical Problems

32. A Monte Carlo Framework to Simulate Multicomponent Droplet Growth by Stochastic Coalescence

33. Monte Carlo Simulation of Room Temperature Ballistic Nanodevices

34. Estimation of Optical Properties in Postharvest and Processing Technology

35. MATLAB Programming of Polymerization Processes using Monte Carlo Techniques

36. Monte Carlo Simulations in Solar Radio Astronomy

37. Using Monte Carlo Simulation for Prediction of Tool Life

38. Loss of Load Expectation Assessment in Electricity Markets using Monte Carlo Simulation and Neuro-Fuzzy Systems

39. Automating First- and Second-order Monte Carlo Simulations for Markov Models in TreeAge Pro

40. Monte Carlo Simulations of Adsorbed Molecules on Ionic Surfaces

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Tags: Shaul Mordechai, Applications, Monte Carlo Method, Science, Engineering