東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computational materials science = fr...

Ohno, Kaoru.

FindBook

Google Book

Amazon

博客來

Computational materials science = from 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 science/ by 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.
內容註:	Ab-Initio Methods -- Tight-Binding Methods -- Empirical Methods and Coarse-Graining -- Monte Carlo Methods -- Quantum Monte Carlo (QMC) Methods.
Contained By:	Springer eBooks
標題:	Materials - Computer simulation. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-56542-1
ISBN:	9783662565421

Computational materials science = from Ab Initio to Monte Carlo methods /
Ohno, Kaoru.

Computational materials sciencefrom 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

Standard No.: 10.1007/978-3-662-56542-1doiSubjects--Topical Terms:

595138
Materials
--Computer simulation.

LC Class. No.: TA404.23 / .O366 2018

Dewey Class. No.: 620.11011

Computational materials science = from Ab Initio to Monte Carlo methods /
LDR:02385nmm a2200337 a 4500 001 2141979
003 DE-He213
005 20181106170734.0
006 m d
007 cr nn 008maaau
008 181214s2018 gw s 0 eng d
020 $a 9783662565421 $q (electronic bk.)
020 $a 9783662565407 $q (paper)
024 7 $a 10.1007/978-3-662-56542-1 $2 doi
035 $a 978-3-662-56542-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TA404.23 $b .O366 2018
072 7 $a TJFD $2 bicssc
072 7 $a TEC021000 $2 bisacsh
072 7 $a TEC008080 $2 bisacsh
082 0 4 $a 620.11011 $2 23
090 $a TA404.23 $b .O38 2018
100 1 $a Ohno, Kaoru. $3 900999
245 1 0 $a Computational materials science $h [electronic resource] : $b from Ab Initio to Monte Carlo methods / $c by Kaoru Ohno, Keivan Esfarjani, Yoshiyuki Kawazoe.
250 $a 2nd ed.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2018.
300 $a xii, 427 p. : $b ill., digital ; $c 24 cm.
505 0 $a Ab-Initio Methods -- Tight-Binding Methods -- Empirical Methods and Coarse-Graining -- Monte Carlo Methods -- Quantum Monte Carlo (QMC) Methods.
520 $a 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.
650 0 $a Materials $x Computer simulation. $3 595138
650 0 $a Materials $x Mathematical models. $3 595137
650 1 4 $a Materials Science. $3 890867
650 2 4 $a Optical and Electronic Materials. $3 891120
650 2 4 $a Numerical and Computational Physics, Simulation. $3 2209853
650 2 4 $a Theoretical and Computational Chemistry. $3 890863
650 2 4 $a Nanotechnology. $3 526235
650 2 4 $a Solid State Physics. $3 1066374
700 1 $a Esfarjani, Keivan. $3 3321203
700 1 $a Kawazoe, Yoshiyuki. $3 900998
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-56542-1
950 $a Chemistry and Materials Science (Springer-11644)