Hierarchical Materials Informatics: Novel Analytics For Materials Data by Surya R. KalidindiHierarchical Materials Informatics: Novel Analytics For Materials Data by Surya R. Kalidindi

Hierarchical Materials Informatics: Novel Analytics For Materials Data

bySurya R. KalidindiEditorSurya R. Kalidindi

Hardcover | August 12, 2015

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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 knowledge in highly accessible forms to end users engaged in product design and design for manufacturing efforts. As such, this emerging field has a pivotal role in realizing the goals outlined in current strategic national initiatives such as the Materials Genome Initiative (MGI) and the Advanced Manufacturing Partnership (AMP). This book presents the foundational elements of this new discipline as it relates to the design, development, and deployment of hierarchical materials critical to advanced technologies.



  • Addresses a critical gap in new materials research and development by presenting a rigorous statistical framework for the quantification of microstructure
  • Contains several case studies illustrating the use of modern data analytic tools on microstructure datasets (both experimental and modeling)
Surya R. Kalidindi earned a B.Tech. in Civil Engineering from the Indian Institute of Technology, Madras, an M.S. in Civil Engineering from Case Western Reserve University, and a Ph.D. in Mechanical Engineering from the Massachusetts Institute of Technology. After his graduation from MIT in 1992, Surya joined the Department of Material...
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Title:Hierarchical Materials Informatics: Novel Analytics For Materials DataFormat:HardcoverDimensions:230 pages, 9.45 × 7.75 × 0.98 inPublished:August 12, 2015Publisher:Butterworth (trade)Language:English

The following ISBNs are associated with this title:

ISBN - 10:0124103944

ISBN - 13:9780124103948

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Table of Contents

Ch. 1. Materials, Data and Informatics
Ch. 2. Microstructure Function
Ch. 3. Spatial Correlations
Ch. 4. Reduced-Order Representations
Ch. 5. Generalized Composite Theories
Ch. 6. Structure-Property Linkages
Ch. 7. Process-Structure Linkages
Ch. 8. Emerging Data and Software Repositories
Ch. 9. e-Collaboration Platforms
Ch. 10. Future Directions, Needs and Challenges