9780124201439-0124201431-Computational Materials Science: Surfaces, Interfaces, Crystallization (Elsevier Insights)

Computational Materials Science: Surfaces, Interfaces, Crystallization (Elsevier Insights)

ISBN-13: 9780124201439
ISBN-10: 0124201431
Edition: 1
Author: A.M. Ovrutsky, A. S Prokhoda, M.S. Rasshchupkyna
Publication date: 2013
Publisher: Elsevier
Format: Hardcover 388 pages
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Book details

ISBN-13: 9780124201439
ISBN-10: 0124201431
Edition: 1
Author: A.M. Ovrutsky, A. S Prokhoda, M.S. Rasshchupkyna
Publication date: 2013
Publisher: Elsevier
Format: Hardcover 388 pages

Summary

Computational Materials Science: Surfaces, Interfaces, Crystallization (Elsevier Insights) (ISBN-13: 9780124201439 and ISBN-10: 0124201431), written by authors A.M. Ovrutsky, A. S Prokhoda, M.S. Rasshchupkyna, was published by Elsevier in 2013. With an overall rating of 3.7 stars, it's a notable title among other books. You can easily purchase or rent Computational Materials Science: Surfaces, Interfaces, Crystallization (Elsevier Insights) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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