語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Multiscale paradigms in integrated c...
~
Muralidharan, Krishna.
Multiscale paradigms in integrated computational materials science and engineering = materials theory, modeling, and simulation for predictive design /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Multiscale paradigms in integrated computational materials science and engineering/ edited by Pierre A. Deymier, Keith Runge, Krishna Muralidharan.
其他題名:
materials theory, modeling, and simulation for predictive design /
其他作者:
Deymier, Pierre A.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
ix, 300 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Materials science. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-24529-4
ISBN:
9783319245294
Multiscale paradigms in integrated computational materials science and engineering = materials theory, modeling, and simulation for predictive design /
Multiscale paradigms in integrated computational materials science and engineering
materials theory, modeling, and simulation for predictive design /[electronic resource] :edited by Pierre A. Deymier, Keith Runge, Krishna Muralidharan. - Cham :Springer International Publishing :2016. - ix, 300 p. :ill., digital ;24 cm. - Springer series in materials science,v.2260933-033X ;. - Springer series in materials science ;106..
Orbital-free Density Functional Theory (OFDFT) -- Path Integral Molecular Dynamics (PIMD) -- Interatomic Potentials Including Chemistry -- Consistent Embedding -- Nano- and Meso-Scale Materials Phenomena -- Phase Field Methods -- Multiscale Spatial and Temporal Data Fusion and Fission in Materials -- Multiscaling and Materials Imaging -- Peridynamics -- Conclusions and Industrial Perspectives.
This book presents cutting-edge concepts, paradigms, and research highlights in the field of computational materials science and engineering, and provides a fresh, up-to-date perspective on solving present and future materials challenges. The chapters are written by not only pioneers in the fields of computational materials chemistry and materials science, but also experts in multi-scale modeling and simulation as applied to materials engineering. Pedagogical introductions to the different topics and continuity between the chapters are provided to ensure the appeal to a broad audience and to address the applicability of integrated computational materials science and engineering for solving real-world problems.
ISBN: 9783319245294
Standard No.: 10.1007/978-3-319-24529-4doiSubjects--Topical Terms:
557839
Materials science.
LC Class. No.: TA403
Dewey Class. No.: 620.11
Multiscale paradigms in integrated computational materials science and engineering = materials theory, modeling, and simulation for predictive design /
LDR
:02256nam a2200325 a 4500
001
861199
003
DE-He213
005
20160801154121.0
006
m d
007
cr nn 008maaau
008
170720s2016 gw s 0 eng d
020
$a
9783319245294
$q
(electronic bk.)
020
$a
9783319245270
$q
(paper)
024
7
$a
10.1007/978-3-319-24529-4
$2
doi
035
$a
978-3-319-24529-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TA403
072
7
$a
PHU
$2
bicssc
072
7
$a
SCI040000
$2
bisacsh
082
0 4
$a
620.11
$2
23
090
$a
TA403
$b
.M961 2016
245
0 0
$a
Multiscale paradigms in integrated computational materials science and engineering
$h
[electronic resource] :
$b
materials theory, modeling, and simulation for predictive design /
$c
edited by Pierre A. Deymier, Keith Runge, Krishna Muralidharan.
260
$a
Cham :
$c
2016.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
ix, 300 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer series in materials science,
$x
0933-033X ;
$v
v.226
505
0
$a
Orbital-free Density Functional Theory (OFDFT) -- Path Integral Molecular Dynamics (PIMD) -- Interatomic Potentials Including Chemistry -- Consistent Embedding -- Nano- and Meso-Scale Materials Phenomena -- Phase Field Methods -- Multiscale Spatial and Temporal Data Fusion and Fission in Materials -- Multiscaling and Materials Imaging -- Peridynamics -- Conclusions and Industrial Perspectives.
520
$a
This book presents cutting-edge concepts, paradigms, and research highlights in the field of computational materials science and engineering, and provides a fresh, up-to-date perspective on solving present and future materials challenges. The chapters are written by not only pioneers in the fields of computational materials chemistry and materials science, but also experts in multi-scale modeling and simulation as applied to materials engineering. Pedagogical introductions to the different topics and continuity between the chapters are provided to ensure the appeal to a broad audience and to address the applicability of integrated computational materials science and engineering for solving real-world problems.
650
0
$a
Materials science.
$3
557839
650
0
$a
Computer simulation.
$3
560190
650
0
$a
Engineering mathematics.
$3
562757
650
1 4
$a
Physics.
$3
564049
650
2 4
$a
Numerical and Computational Physics.
$3
768904
650
2 4
$a
Optical and Electronic Materials.
$3
593919
650
2 4
$a
Solid State Physics.
$3
768851
650
2 4
$a
Appl.Mathematics/Computational Methods of Engineering.
$3
669335
650
2 4
$a
Nanotechnology.
$3
557660
700
1
$a
Deymier, Pierre A.
$3
1074485
700
1
$a
Runge, Keith.
$3
1103398
700
1
$a
Muralidharan, Krishna.
$3
1103399
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Springer series in materials science ;
$v
106.
$3
881461
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-24529-4
950
$a
Physics and Astronomy (Springer-11651)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入