Applied Computational Materials Modeling Theory, Simulation and Experiment - gebunden oder broschiert

EAN (ISBN-13): 9780387231174
ISBN (ISBN-10): 038723117X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2007
Herausgeber: Springer US
491 Seiten
Gewicht: 0,794 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-11-07T23:58:48+01:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-01T15:56:51+01:00 (Berlin)
ISBN/EAN: 9780387231174

ISBN - alternative Schreibweisen:
0-387-23117-X, 978-0-387-23117-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: bozzolo, abel, phillip
Titel des Buches: applied computational materials modeling, computation 666, theory modeling and simulation, the uses experiment, gebr analysis, digital art

---

Daten vom Verlag:

Autor/in: Guillermo Bozzolo; Ronald D. Noebe; Phillip B. Abel
Titel: Applied Computational Materials Modeling - Theory, Simulation and Experiment
Verlag: Springer; Springer US
491 Seiten
Erscheinungsjahr: 2007-10-12
New York; NY; US
Sprache: Englisch
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