Computational Materials Science: From Ab Initio to Monte Carlo Methods (Springer Series in Solid-State Sciences)

Ohno, Kaoru; Esfarjani, Keivan; Kawazoe, Yoshiyuki

ISBN 10: 3642641555 / ISBN 13: 9783642641558

Published by Springer, 2011

About this Item

Seller Inventory # ABLIING23Mar3113020232546

Bibliographic Details

Title: Computational Materials Science: From Ab ...

Publisher: Springer

Publication Date: 2011

Binding: Soft cover

Condition: New

About this title

Synopsis:

There has been much progress in the computational approaches in the field of materials science during the past two decades. In particular, computer simula­ tion has become a very important tool in this field since it is a bridge between theory, which is often limited by its oversimplified models, and experiment, which is limited by the physical parameters. Computer simulation, on the other hand, can partially fulfill both of these paradigms, since it is based on theories and is in fact performing experiment but under any arbitrary, even unphysical, conditions. This progress is indebted to advances in computational physics and chem­ istry. Ab initio methods are being used widely and frequently in order to determine the electronic and/or atomic structures of different materials. The ultimate goal is to be able to predict various properties of a material just from its atomic coordinates, and also, in some cases, to even predict the sta­ ble atomic positions of a given material. However, at present, the applications of ab initio methods are severely limited with respect to the number of par­ ticles and the time scale of dynamical simulation. This is one extreme of the methodology based on very accurate electronic-level calculations.

From the Back Cover:

This book introduces modern techniques based on computer simulation to study materials science. It starts from first principles calculations that enable the physical and chemical properties to be revealed 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. Readers can gain sufficient knowledge to begin theoretical studies in modern materials research.