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Atlanta, GA | Posted: August 20, 2015
Kelly B. Smith, Marketing & Communications, kelly.smith@imat.gatech.edu
Summary Sentence:
'Hierarchical Materials Informatics' aims to organize knowlege in accessible forms
Full Summary:
No summary paragraph submitted.
Surya Kalidindi compressed
Hierarchical Materials InformaticsCustom 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, according to a new book authored by Surya Kalidindi, head of MGI Strategies and Innovation Support Team member at Georgia Tech’s Institute for Materials and professor of Mechanical Engineering.
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).
“The key to good properties and performance characteristics of most materials lies in tailoring their internal structures, referred to as microstructures,” Kalidindi said. “Although this has been known for some time, there has not been a practical approach to quantifying the connections between the material microstructure and its properties. Materials Informatics presents a rigorous data-driven approach for addressing this challenge.”
Kalidindi said he hopes his book will have a transformative effect on the materials engineering community.
“This book introduces a paradigm in how one might organize materials knowledge in forms that can be readily utilized by product design and advanced manufacturing experts,” he said. “As such it can help establish tightly knit connections between the materials community and the design and manufacturing community.”
Kalidindi has joint appointments in the School of Computational Science and Engineering and in the School of Materials Science and Engineering. His research efforts during the past two decades have made seminal contributions to the fields of crystal plasticity, microstructure design, spherical nanoindentation, and materials informatics. His work has already produced about 200 journal articles, four book chapters, and a new book on Microstructure Sensitive Design. He is well cited by peer researchers as reflected by an h-index of 52 and current citation rate of about 1000 citations/year (Google Scholar).
He was recently awarded the Alexander von Humboldt award in recognition of his lifetime achievements in research. He has been elected a Fellow of ASME, ASM International, TMS, and Alpha Sigma Mu.
