大葉大學圖書館 |

Multiscale paradigms in integrated computational materials science and engineering[electronic resource] :materials theory, modeling, and simulation for predictive design /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	620.11
書名/作者:	Multiscale paradigms in integrated computational materials science and engineering : materials theory, modeling, and simulation for predictive design // edited by Pierre A. Deymier, Keith Runge, Krishna Muralidharan.
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.
標題:	Computer simulation.
標題:	Engineering mathematics.
標題:	Physics.
標題:	Numerical and Computational Physics.
標題:	Optical and Electronic Materials.
標題:	Solid State Physics.
標題:	Appl.Mathematics/Computational Methods of Engineering.
標題:	Nanotechnology.
ISBN:	9783319245294
ISBN:	9783319245270
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-24529-4

Multiscale paradigms in integrated computational materials science and engineering[electronic resource] :materials theory, modeling, and simulation for predictive design /
Multiscale paradigms in integrated computational materials science and engineeringmaterials 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 ;133..

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:

366626
Materials science.

LC Class. No.: TA403

Dewey Class. No.: 620.11

Multiscale paradigms in integrated computational materials science and engineering[electronic resource] :materials theory, modeling, and simulation for predictive design /
LDR:02256nam a2200325 a 4500 001 455322
003 DE-He213
005 20160801154121.0
006 m d
007 cr nn 008maaau
008 161227s2016 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 : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
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 366626
650 0 $a Computer simulation. $3 173669
650 0 $a Engineering mathematics. $3 187457
650 1 4 $a Physics. $3 171863
650 2 4 $a Numerical and Computational Physics. $3 464126
650 2 4 $a Optical and Electronic Materials. $3 463742
650 2 4 $a Solid State Physics. $3 463873
650 2 4 $a Appl.Mathematics/Computational Methods of Engineering. $3 463859
650 2 4 $a Nanotechnology. $3 192698
700 1 $a Deymier, Pierre A. $3 653580
700 1 $a Runge, Keith. $3 653581
700 1 $a Muralidharan, Krishna. $3 653582
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Springer series in materials science ; $v 133. $3 366618
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-24529-4
950 $a Physics and Astronomy (Springer-11651)