Computational materials science : from ab initio to Monte Carlo methods
Author(s)
Bibliographic Information
Computational materials science : from ab initio to Monte Carlo methods
Springer, c2018
2nd ed
- : [hardback]
Available at / 9 libraries
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The Institute for Solid State Physics Library. The University of Tokyo.図書室
: [hardback]421.9:C227210383878
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
Ab-Initio Methods.- Tight-Binding Methods.- Empirical Methods and Coarse-Graining.- Monte Carlo Methods.- Quantum Monte Carlo (QMC) Methods.
by "Nielsen BookData"
