eBook Computational Materials Science, 1st Edition

  • Published By:
  • ISBN-10: 0124202071
  • ISBN-13: 9780124202078
  • DDC: 548.50113
  • Grade Level Range: College Freshman - College Senior
  • 388 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013
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Computational Materials Science provides the theoretical basis necessary for understanding atomic surface phenomena and processes of phase transitions, especially crystallization, is given. The most important information concerning computer simulation by different methods and simulation techniques for modeling of physical systems is also presented. A number of results are discussed regarding modern studies of surface processes during crystallization. There is sufficiently full information on experiments, theory, and simulations concerning the surface roughening transition, kinetic roughening, nucleation kinetics, stability of crystal shapes, thin film formation, imperfect structure of small crystals, size dependent growth velocity, distribution coefficient at growth from alloy melts, superstructure ordering in the intermetallic compound. Computational experiments described in the last chapter allow visualization of the course of many processes and better understanding of many key problems in Materials Science. There is a set of practical steps concerning computational procedures presented. Open access to executable files in the book make it possible for everyone to understand better phenomena and processes described in the book.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: Computer Modeling of Physical Phenomena and Processes.
2: Basic Concepts of Theory of Phase Transformations.
3: Diffusion Problems of Crystal Growth: Methods of Numerical Solutions.
4: Structure of the Boundary Surfaces.
5: Adsorption. The Gibbs Adsorption Equation.
6: Simulation Techniques for Atomic Systems.
7: The Surface Processes during Crystallization.
8: Modern Simulations by the Molecular Dynamics Method.
9: Computational Experiments in Materials Science.