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Computational materials sciencefrom ...
~
Esfarjani, Keivan.
Computational materials sciencefrom Ab Initio to Monte Carlo methods /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Computational materials scienceby Kaoru Ohno, Keivan Esfarjani, Yoshiyuki Kawazoe.
其他題名:
from Ab Initio to Monte Carlo methods /
作者:
Ohno, Kaoru.
其他作者:
Esfarjani, Keivan.
出版者:
Berlin, Heidelberg :Springer Berlin Heidelberg :2018.
面頁冊數:
xii, 427 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
MaterialsComputer simulation.
電子資源:
http://dx.doi.org/10.1007/978-3-662-56542-1
ISBN:
9783662565421$q(electronic bk.)
Computational materials sciencefrom Ab Initio to Monte Carlo methods /
Ohno, Kaoru.
Computational materials science
from Ab Initio to Monte Carlo methods /[electronic resource] :by Kaoru Ohno, Keivan Esfarjani, Yoshiyuki Kawazoe. - 2nd ed. - Berlin, Heidelberg :Springer Berlin Heidelberg :2018. - xii, 427 p. :ill., digital ;24 cm.
Ab-Initio Methods -- Tight-Binding Methods -- Empirical Methods and Coarse-Graining -- Monte Carlo Methods -- Quantum Monte Carlo (QMC) Methods.
This textbook introduces modern techniques based on computer simulation to study materials science. It starts from first principles calculations enabling to calculate the physical and chemical properties by solving a many-body Schroedinger equation with Coulomb forces. For the exchange-correlation term, the local density approximation is usually applied. After the introduction of the first principles treatment, tight-binding and classical potential methods are briefly introduced to indicate how one can increase the number of atoms in the system. In the second half of the book, Monte Carlo simulation is discussed in detail. Problems and solutions are provided to facilitate understanding. Readers will gain sufficient knowledge to begin theoretical studies in modern materials research. This second edition includes a lot of recent theoretical techniques in materials research. With the computers power now available, it is possible to use these numerical techniques to study various physical and chemical properties of complex materials from first principles. The new edition also covers empirical methods, such as tight-binding and molecular dynamics.
ISBN: 9783662565421$q(electronic bk.)
Standard No.: 10.1007/978-3-662-56542-1doiSubjects--Topical Terms:
204828
Materials
--Computer simulation.
LC Class. No.: TA404.23 / .O366 2018
Dewey Class. No.: 620.11011
Computational materials sciencefrom Ab Initio to Monte Carlo methods /
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