Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Computational Materials Science = Fr...
~
Esfarjani, Keivan.
Computational Materials Science = From Ab Initio to Monte Carlo Methods /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Computational Materials Science/ by Kaoru Ohno, Keivan Esfarjani, Yoshiyuki Kawazoe.
Reminder of title:
From Ab Initio to Monte Carlo Methods /
Author:
Ohno, Kaoru.
other author:
Esfarjani, Keivan.
Description:
XII, 427 p.online resource. :
Contained By:
Springer Nature eBook
Subject:
Optical materials. -
Online resource:
https://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 Science
From Ab Initio to Monte Carlo Methods /[electronic resource] :by Kaoru Ohno, Keivan Esfarjani, Yoshiyuki Kawazoe. - 2nd ed. 2018. - XII, 427 p.online resource.
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:
672695
Optical materials.
LC Class. No.: TA1750-1750.22
Dewey Class. No.: 620.11295
Computational Materials Science = From Ab Initio to Monte Carlo Methods /
LDR
:02744nam a22004095i 4500
001
991620
003
DE-He213
005
20200702085623.0
007
cr nn 008mamaa
008
201225s2018 gw | s |||| 0|eng d
020
$a
9783662565421
$9
978-3-662-56542-1
024
7
$a
10.1007/978-3-662-56542-1
$2
doi
035
$a
978-3-662-56542-1
050
4
$a
TA1750-1750.22
072
7
$a
TJFD
$2
bicssc
072
7
$a
TEC021020
$2
bisacsh
072
7
$a
TJFD
$2
thema
082
0 4
$a
620.11295
$2
23
082
0 4
$a
620.11297
$2
23
100
1
$a
Ohno, Kaoru.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
678697
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. 2018.
264
1
$a
Berlin, Heidelberg :
$b
Springer Berlin Heidelberg :
$b
Imprint: Springer,
$c
2018.
300
$a
XII, 427 p.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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
Optical materials.
$3
672695
650
0
$a
Electronic materials.
$3
1253592
650
0
$a
Physics.
$3
564049
650
0
$a
Chemistry, Physical and theoretical.
$3
557299
650
0
$a
Nanotechnology.
$3
557660
650
0
$a
Solid state physics.
$3
641431
650
1 4
$a
Optical and Electronic Materials.
$3
593919
650
2 4
$a
Numerical and Computational Physics, Simulation.
$3
1112293
650
2 4
$a
Theoretical and Computational Chemistry.
$3
670313
650
2 4
$a
Solid State Physics.
$3
768851
700
1
$a
Esfarjani, Keivan.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1203488
700
1
$a
Kawazoe, Yoshiyuki.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
678698
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783662565407
776
0 8
$i
Printed edition:
$z
9783662565414
776
0 8
$i
Printed edition:
$z
9783662585870
856
4 0
$u
https://doi.org/10.1007/978-3-662-56542-1
912
$a
ZDB-2-CMS
912
$a
ZDB-2-SXC
950
$a
Chemistry and Materials Science (SpringerNature-11644)
950
$a
Chemistry and Material Science (R0) (SpringerNature-43709)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login