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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kalidindi, Surya (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Butterworth-Heinemann is an imprint of Elsevier, [2015]
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Hierarchical Materials Informatics; Copyright Page; Contents; Acknowledgments; 1 Materials, Data, and Informatics; 1.1 PSP Linkages; 1.2 Material Internal Structure; 1.3 Inverse Problems in Materials and Process Design; 1.4 Data, Information, Knowledge, and Wisdom; 1.5 Digital Representations; 1.6 Hierarchical Materials Informatics; References; 2 Microstructure Function; 2.1 Length Scales; 2.2 Local States and Local State Spaces; 2.2.1 Local States and Local State Spaces in Polycrystalline Microstructures; 2.3 Microstructure Function; 2.4 Digital Representation of Functions.
  • 2.5 Digital Representation of Microstructure Function2.6 Spectral Representations of Microstructure Function; References; 3 Statistical Quantification of Material Structure; 3.1 Spatial Correlations; 3.2 Computation and Visualization of 2-Point Spatial Correlations; 3.3 Higher Order Spatial Correlations; 3.4 Reconstructions of Microstructures from Spatial Correlations; 3.5 Reconstructions from Partial Sets of 2-Point Statistics; 3.6 Representative Microstructures; References; 4 Reduced-Order Representations of Spatial Correlations; 4.1 Principal Component Analyses.
  • 6.3 Case Study: Microstructure-Property Relationships in Porous Transport Layers6.4 Case Study: Structure-Property Linkages in Inclusions/Steel Composites; 6.5 MKS: Data-Driven Framework for Localization Linkages; 6.6 Case Study: MKS for Elastic Response of Composites; 6.7 Case Study: MKS for Elastic Response of Higher Contrast Composites; 6.8 Case Study: MKS for Elastic Response of Polycrystals; 6.9 Case Study: MKS for Perfectly Plastic Response of Composites; References; 7 Process-Structure Linkages; 7.1 Mathematical Framework.
  • 7.2 Case Study: Microstructure Evolution Using Phase-Field Models7.3 Case Study: DFT Databases for Crystal Plasticity Computations; References; 8 Materials Innovation Cyberinfrastructure; References; Index.