Applied Computational Materials Modeling Theory, Simulation and Experiment - gebonden uitgave, pocketboek

EAN (ISBN-13): 9780387231174
ISBN (ISBN-10): 038723117X
Gebonden uitgave
pocket book
Verschijningsjaar: 2007
Uitgever: Springer US
491 Bladzijden
Gewicht: 0,794 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2007-11-07T23:58:48+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2024-03-01T15:56:51+01:00 (Amsterdam)
ISBN/EAN: 9780387231174

ISBN - alternatieve schrijfwijzen:
0-387-23117-X, 978-0-387-23117-4
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: bozzolo, abel, phillip
Titel van het boek: applied computational materials modeling, computation 666, theory modeling and simulation, the uses experiment, gebr analysis, digital art

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Gegevens van de uitgever

Auteur: Guillermo Bozzolo; Ronald D. Noebe; Phillip B. Abel
Titel: Applied Computational Materials Modeling - Theory, Simulation and Experiment
Uitgeverij: Springer; Springer US
491 Bladzijden
Verschijningsjaar: 2007-10-12
New York; NY; US
Taal: Engels
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
XVI, 491 p.

BB; Hardcover, Softcover / Technik/Maschinenbau, Fertigungstechnik; Materialwissenschaft; Verstehen; Dynamics; Potential; alloy; calculus; computational materials science; crystal; evolution; linear optimization; modeling; simulation; surface science; thermodynamics; Materials Science; Computational Intelligence; Condensed Matter Physics; Theoretical, Mathematical and Computational Physics; Engineering Design; 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