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:
Materials science > Data processing.
Science des mat�eriaux > Informatique.
TECHNOLOGY & ENGINEERING > Engineering (General)
TECHNOLOGY & ENGINEERING > Reference.
Materials science > Data processing
Acceso en línea:Texto completo

MARC

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100 1 |a Kalidindi, Surya,  |e author. 
245 1 0 |a Hierarchical materials informatics :  |b novel analytics for materials data /  |c Surya R. Kalidindi. 
264 1 |a Amsterdam :  |b Butterworth-Heinemann is an imprint of Elsevier,  |c [2015] 
264 4 |c �2015 
300 |a 1 online resource (ix, 219 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a 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. 
505 0 |a 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. 
505 8 |a 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. 
505 8 |6 880-01  |a 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. 
505 8 |a 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. 
588 0 |a Print version record. 
650 0 |a Materials science  |x Data processing. 
650 6 |a Science des mat�eriaux  |0 (CaQQLa)201-0141984  |x Informatique.  |0 (CaQQLa)201-0380011 
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650 7 |a TECHNOLOGY & ENGINEERING  |x Reference.  |2 bisacsh 
650 7 |a Materials science  |x Data processing  |2 fast  |0 (OCoLC)fst01011960 
776 0 8 |i Print version:  |a Kalidindi, Surya R.  |t Materials structure informatics.  |d [Place of publication not identified] : Elsevier Butterworth-Hein, 2014  |z 9780124103948 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780124103948  |z Texto completo 
880 8 |6 505-01/(S  |a 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. 

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