It is about fifteen years since we started hearing about Computational Ma terials Science and Materials Modelling and Design. Fifteen years is a long time and all of us realise that the use of computational methods in the design of materials has not been rapid enough. We also know the reasons for this. Mate rials properties are not dependent on a single phenomenon. The properties of materials cover a wide range from electronic, thermal, mechanical to chemical and electro-chemical. Each of these class of properties depend on specific phe nomenon that takes place at different scales or levels of length from sub atomic to visible length levels. The energies controlling the phenomena also varies widely from a fraction of an electron volt to many joules. The complexity of materials are such that while models and methods for treating individual phenomenon have been perfected, incorporating them into a single programme taking into account the synergism is a formidable task. Two specific areas where the progress has been very rapid and substantive are prediction of phase stability and phase diagrams and embrittlement of steels by metalloids. The first three sections of the book contain papers which review the theoreti cal principles underlying materials modeling and simulations and show how they can be applied to the problems just mentioned. There is now a strong interest in designing new materials starting from nanoparticles and clusters.
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These proceedings bring together state-of-the-art ab-initio and macroscopic, "coarse-grained" approaches for understanding technologically important problems in materials science. Contributions by experts present our current understanding of alloys, defects and deformation behaviour, surface phenomena, and the properties of small clusters and nano-materials. The use of simulational tools such as the Car-Parrinello method, Monte Carlo method, classical molecular dynamics and continuum finite element methods to study materials structure and behaviour is emphasized. Fundamental understanding obtained from such studies should help in designing novel materials with desired properties and in improving materials performance.
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