ISBN: 9780387345659
While it is tempting to label computational materials modeling as an emerging field of research, the truth is that both in nature and foundation, it is just as much an established field a… Plus…
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ISBN: 9780387345659
Materials Science; Materials Science, general; Computational Intelligence; Condensed Matter Physics; Numerical and Computational Physics, Simulation; Engineering Design Dynamics, Potentia… Plus…
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ISBN: 9780387345659
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ISBN: 9780387345659
While it is tempting to label computational materials modeling as an emerging field of research, the truth is that both in nature and foundation, it is just as much an established field a… Plus…
Guillermo Bozzolo; Ronald D. Noebe; Phillip B. Abel:
Applied Computational Materials Modeling - nouveau livreISBN: 9780387345659
Materials Science; Materials Science, general; Computational Intelligence; Condensed Matter Physics; Numerical and Computational Physics, Simulation; Engineering Design Dynamics, Potentia… Plus…
ISBN: 9780387345659
Materials Science; Materials Science, general; Computational Intelligence; Condensed Matter Physics; Numerical and Computational Physics, Simulation; Engineering Design Dynamics, Potentia… Plus…
ISBN: 9780387345659
; PDF \ H. Jaap van den Herik; Scientific, Technical and Medical > Mechanical engineering & materials > Materials science, Springer US
ISBN: 9780387345659
; EPUB; Scientific, Technical and Medical > Mechanical engineering & materials > Materials science, Elsevier Science
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Informations détaillées sur le livre - Applied Computational Materials Modeling
EAN (ISBN-13): 9780387345659
ISBN (ISBN-10): 0387345655
Date de parution: 2007
Editeur: Springer US
491 Pages
Langue: eng/Englisch
Livre dans la base de données depuis 2009-02-14T18:55:12+01:00 (Paris)
Page de détail modifiée en dernier sur 2022-12-08T11:59:24+01:00 (Paris)
ISBN/EAN: 9780387345659
ISBN - Autres types d'écriture:
0-387-34565-5, 978-0-387-34565-9
Autres types d'écriture et termes associés:
Auteur du livre: abel
Titre du livre: experiment, modeling and simulation, computational materials
Données de l'éditeur
Auteur: Guillermo Bozzolo; Ronald D. Noebe; Phillip B. Abel
Titre: Applied Computational Materials Modeling - Theory, Simulation and Experiment
Editeur: Springer; Springer US
491 Pages
Date de parution: 2007-12-19
New York; NY; US
Langue: Anglais
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XVI, 491 p.
EA; E107; eBook; Nonbooks, PBS / Technik/Maschinenbau, Fertigungstechnik; Materialwissenschaft; Verstehen; Dynamics; Potential; alloy; calculus; computational materials science; crystal; evolution; linear optimization; modeling; simulation; surface science; thermodynamics; C; Materials Science; Computational Intelligence; Condensed Matter Physics; Theoretical, Mathematical and Computational Physics; Engineering Design; Chemistry and Materials Science; Künstliche Intelligenz; Physik der kondensierten Materie (Flüssigkeits- und Festkörperphysik); Mathematische Physik; Konstruktion, Entwurf; BC
Ab initio modeling of alloy phase equilibria.- Use of computational thermodynamics to identify potential alloy compositions for metallic glass formation.- How does a crystal grow? Experiments, models and simulations from the nano- to the micro-scale regime.- Structural and electronic properties from first-principles.- Synergy between material, surface science experiments and simulations.- Integration of first-principles calculations, calphad modeling, and phase-field simulations.- Quantum approximate methods for the atomistic modeling of multicomponent alloys.- Molecular orbital approach to alloy design.- Application of computational and experimental techniques in intelligent design of age-hardenable aluminum alloys.- Multiscale modeling of intergranular fracture in metals.- Multiscale modeling of deformation and fracture in metallic materials.- Frontiers in surface analysis: Experiments and modeling.- The evolution of composition and structure at metal-metal interfaces: Measurements and simulations.- Modeling of low enrichment uranium fuels for research and test reactors.Computational materials modeling is presented as a set of tools available for aiding the materials engineer/scientist Each chapter describes one or more particular computational tool and how they are best used Provides detailed examples of application to real problems Suggests how to acquire the programs (tools) if the software is publicly available Focuses on the integration of the modeling methods within experimental programs Includes supplementary material: sn.pub/extras
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