Computational Materials Science : From Ab Initio to Monte Carlo Methods
Second Edition 2018
Book Details
Format
Paperback / Softback
ISBN-10
3662585871
ISBN-13
9783662585870
Edition
Second Edition 2018
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Feb 1st, 2019
Print length
427 Pages
Product Classification:
Condensed matter physics (liquid state & solid state physics)Condensed matter physics (liquid state and solid state physics)Mathematical / Computational / Theoretical physicsMathematical physicsQuantum & theoretical chemistryQuantum and theoretical chemistryNanotechnologyMechanical engineeringOther technologies & applied sciencesOther technologies and applied sciences
Ksh 13,500.00
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This textbook introduces modern techniques based on computer simulation to study materials science. Readers will gain sufficient knowledge to begin theoretical studies in modern materials research. This second edition includes a lot of recent theoretical techniques in materials research.
This textbook introduces modern techniques based on computer simulation to study materials science. It starts from first principles calculations enabling to calculate the physical and chemical properties by solving a many-body Schroedinger equation with Coulomb forces. For the exchange-correlation term, the local density approximation is usually applied. After the introduction of the first principles treatment, tight-binding and classical potential methods are briefly introduced to indicate how one can increase the number of atoms in the system. In the second half of the book, Monte Carlo simulation is discussed in detail. Problems and solutions are provided to facilitate understanding. Readers will gain sufficient knowledge to begin theoretical studies in modern materials research. This second edition includes a lot of recent theoretical techniques in materials research. With the computers power now available, it is possible to use these numerical techniques to study various physical and chemical properties of complex materials from first principles. The new edition also covers empirical methods, such as tight-binding and molecular dynamics.
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