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Introduction to Computational Materials Science - Fundamentals to Applications (Hardcover, New) Loot Price: R2,619
Discovery Miles 26 190
Introduction to Computational Materials Science - Fundamentals to Applications (Hardcover, New): Richard LeSar

Introduction to Computational Materials Science - Fundamentals to Applications (Hardcover, New)

Richard LeSar

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Loot Price R2,619 Discovery Miles 26 190 | Repayment Terms: R245 pm x 12*

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Emphasising essential methods and universal principles, this textbook provides everything students need to understand the basics of simulating materials behaviour. All the key topics are covered from electronic structure methods to microstructural evolution, appendices provide crucial background material, and a wealth of practical resources are available online to complete the teaching package. Modelling is examined at a broad range of scales, from the atomic to the mesoscale, providing students with a solid foundation for future study and research. Detailed, accessible explanations of the fundamental equations underpinning materials modelling are presented, including a full chapter summarising essential mathematical background. Extensive appendices, including essential background on classical and quantum mechanics, electrostatics, statistical thermodynamics and linear elasticity, provide the background necessary to fully engage with the fundamentals of computational modelling. Exercises, worked examples, computer codes and discussions of practical implementations methods are all provided online giving students the hands-on experience they need.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: March 2013
First published: May 2013
Authors: Richard LeSar
Dimensions: 252 x 196 x 22mm (L x W x T)
Format: Hardcover
Pages: 427
Edition: New
ISBN-13: 978-0-521-84587-8
Categories: Books > Science & Mathematics > Chemistry > Physical chemistry > General
Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
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LSN: 0-521-84587-4
Barcode: 9780521845878

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