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Hierarchical materials informatics : novel analytics for materials data /
Custom design, manufacture, and deployment of new high performance materials for advanced technologies is critically dependent on the availability of invertible, high fidelity, structure-property-processing (SPP) linkages. Establishing these linkages presents a major challenge because of the need to...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Butterworth-Heinemann is an imprint of Elsevier,
[2015]
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Custom design, manufacture, and deployment of new high performance materials for advanced technologies is critically dependent on the availability of invertible, high fidelity, structure-property-processing (SPP) linkages. Establishing these linkages presents a major challenge because of the need to cover unimaginably large dimensional spaces. Hierarchical Materials Informatics addresses objective, computationally efficient, mining of large ensembles of experimental and modeling datasets to extract this core materials knowledge. Furthermore, it aims to organize and present this high value kno. |
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| Descripción Física: | 1 online resource (ix, 219 pages) : illustrations |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9780124104556 012410455X |