Hierarchical Materials Informatics
Surya R. Kalidindi
Sold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since August 14, 2006
New - Hardcover
Condition: New
Ships from Germany to U.S.A.
Quantity: 2 available
Add to basketSold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since August 14, 2006
Condition: New
Quantity: 2 available
Add to basketNeuware - 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 presents a major challenge because these linkages need to cover unimaginably large dimensional spaces. Materials Informatics demonstrates how it is now possible to automate the acquisition of fairly large experimental datasets and apply sophisticated numerical models on these datasets to examine their response during various processing (manufacturing) steps and/or service conditions, thereby helping to speed up the time needed for the design, development and deployment of important new materials. \* 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).
Seller Inventory # 9780124103948
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.
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