Hierarchical materials informatics : novel analytics for materials data /: novel analytics for materials data. ([2015])

• Record Type: Book
• Further Information: Note: Surya R. Kalidindi.
• Authors: Kalidindi, Surya
• Contents: 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 4.2 Application to Spatial Correlations4.3 Case Study: α-β Ti Micrographs; 4.4 Case Study: Nonmetallic Inclusions/Steel Composite System; 4.5 Case Study: MD Simulation Datasets; References; 5 Generalized Composite Theories; 5.1 Conventions and Notations; 5.2 Review of Continuum Mechanics; 5.3 Concept of Homogenization; 5.4 Higher Order Homogenization Theory; References; 6 Structure-Property Linkages; 6.1 Data-Driven Framework for Homogenization Linkages; 6.2 Main Steps of the Data-Driven Framework for Homogenization Linkages 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
• Publisher Details: Amsterdam : Butterworth-Heinemann is an imprint of Elsevier
• Publication Date: 2015
• Copyright Date: 2015
• Extent: 1 online resource
• Subjects: 620.11; Materials science -- Data processing; TECHNOLOGY & ENGINEERING / Engineering (General); TECHNOLOGY & ENGINEERING / Reference; Materials science -- Data processing; Electronic books; Electronic books
• Languages: English
• ISBNs: 9780124104556
• Related ISBNs: 012410455X; 9780124103948; 0124103944
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (EBSCO, viewed August 14, 2015)
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.