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Role of materials data science and informatics in accelerated materials innovation

Published online by Cambridge University Press:  02 August 2016

Surya R. Kalidindi ,
David B. Brough ,
Shengyen Li ,
Ahmet Cecen ,
Aleksandr L. Blekh ,
Faical Yannick P. Congo  and
Carelyn Campbell
Surya R. Kalidindi
Affiliation:
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, USA; [email protected]
David B. Brough
Affiliation:
School of Computational Science and Engineering, Georgia Institute of Technology, USA; [email protected]
Shengyen Li
Affiliation:
National Institute of Standards and Technology, USA; [email protected]
Ahmet Cecen
Affiliation:
School of Computational Science and Engineering, Georgia Institute of Technology, USA; [email protected]
Aleksandr L. Blekh
Affiliation:
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, USA; [email protected]
Faical Yannick P. Congo
Affiliation:
Material Measurement Laboratory, Materials Science and Engineering Division, National Institute of Standards and Technology, USA; [email protected]
Carelyn Campbell
Affiliation:
Material Measurement Laboratory, Materials Science and Engineering Division, National Institute of Standards and Technology, USA; [email protected]
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Abstract

The goal of the Materials Genome Initiative is to substantially reduce the time and cost of materials design and deployment. Achieving this goal requires taking advantage of the recent advances in data and information sciences. This critical need has impelled the emergence of a new discipline, called materials data science and informatics. This emerging new discipline not only has to address the core scientific/technological challenges related to datafication of materials science and engineering, but also, a number of equally important challenges around data-driven transformation of the current culture, practices, and workflows employed for materials innovation. A comprehensive effort that addresses both of these aspects in a synergistic manner is likely to succeed in realizing the vision of scaled-up materials innovation. Key toolsets needed for the successful adoption of materials data science and informatics in materials innovation are identified and discussed in this article. Prototypical examples of emerging novel toolsets and their functionality are described along with select case studies.

Keywords

microstructuremetalalloyinformaticsdata
Type
Research Article
Information
MRS Bulletin , Volume 41 , Issue 8: Microstructure Informatics in Process–Structure–Property Relations , August 2016 , pp. 596 - 602
Copyright
Copyright © Materials Research Society 2016 

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