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Applied computational materials modeling : theory, simulation and experiment
Applied Computational Modeling identifies and emphasizes the successful link between computational materials modeling as a simulation and design tool and its synergistic application to experimental research and alloy development. Compared to other areas in science where computational modeling has ma...
| Autres auteurs : | , , , |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Applied computational materials modeling : theory, simulation and experiment / edited by Guillermo Bozzolo, Ronadl D. Noebe, Phillip B. Abel, D.R. Vij |
| Publié : |
Boston, MA :
Springer US
, [20..] Cham : Springer Nature |
| Accès en ligne : |
Accès Nantes Université
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| Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
| Contenu : | 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. |
| Sujets : | |
| Documents associés : | Autre format:
Applied Computational Materials Modeling Autre format: Flexible assembly systems Autre format: Applied Computational Materials Modeling |
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| 327 | 1 | |a Ab initio modeling of alloy phase equilibria |a Use of computational thermodynamics to identify potential alloy compositions for metallic glass formation |a How does a crystal grow? Experiments, models and simulations from the nano- to the micro-scale regime |a Structural and electronic properties from first-principles |a Synergy between material, surface science experiments and simulations |a Integration of first-principles calculations, calphad modeling, and phase-field simulations |a Quantum approximate methods for the atomistic modeling of multicomponent alloys |a Molecular orbital approach to alloy design |a Application of computational and experimental techniques in intelligent design of age-hardenable aluminum alloys |a Multiscale modeling of intergranular fracture in metals |a Multiscale modeling of deformation and fracture in metallic materials |a Frontiers in surface analysis: Experiments and modeling |a The evolution of composition and structure at metal-metal interfaces: Measurements and simulations |a Modeling of low enrichment uranium fuels for research and test reactors. | |
| 330 | |a Applied Computational Modeling identifies and emphasizes the successful link between computational materials modeling as a simulation and design tool and its synergistic application to experimental research and alloy development. Compared to other areas in science where computational modeling has made substantial contributions to the development and growth of a particular field, computational materials modeling has been rather limited in its ability to insert itself as a major tool in materials design. The impression that computational modeling is simply an intellectual pursuit with limited real life application has delayed its widespread use by the mainstream materials community, but as in any emerging field, the time has come where it is now difficult to imagine any vigorous materials development program without a strong foundation in modeling. Hence, this book provides the average person working in the materials field with a more balanced perspective of the role that computational modeling can play in every day research and development efforts. This is done by presenting a series of examples of the successful application of various computational modeling procedures (everything from first principles to quantum approximate to CALPHAD methods) to real life surface and bulk alloy problems. This book should have a large appeal in the materials community, both for experimentalists who would greatly benefit from adding computational methods to their everyday research regimes, as well as for those scientists/engineers familiar with a particular computational method who would like to add complementary techniques to their arsenal of research and development tools. | ||
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