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Materials Data Infrastructure and Materials Informatics

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Computational Materials System Design

Abstract

Data-driven materials research requires two key supporting components: data infrastructure and informatics. In this chapter, we review the state of the art in materials data infrastructure, focusing in detail on four infrastructure projects spanning academia, government, and industry. We also discuss data standards as an enabling step on the path to community-scale materials data infrastructure. We then introduce materials informatics as a potent accelerator of materials development and highlight specific application areas, including polymer dielectrics and dielectric breakdown.

The original version of this chapter was revised. An erratum to this chapter can be found at https://doi.org/10.1007/978-3-319-68280-8_10

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Authors and Affiliations

  1. Citrine Informatics, Redwood City, CA, 94062, USA

    Joanne Hill & Bryce Meredig

  2. Department of Materials Science and Engineering, University of Connecticut, Storrs, CT, 06269, USA

    Arun Mannodi-Kanakkithodi & Ramamurthy Ramprasad

Authors
  1. Joanne Hill
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  2. Arun Mannodi-Kanakkithodi
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  3. Ramamurthy Ramprasad
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  4. Bryce Meredig
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Correspondence to Bryce Meredig .

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Editors and Affiliations

  1. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

    Dongwon Shin

  2. QuesTek Innovations, LLC, Evanston, Illinois, USA

    James Saal

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Hill, J., Mannodi-Kanakkithodi, A., Ramprasad, R., Meredig, B. (2018). Materials Data Infrastructure and Materials Informatics. In: Shin, D., Saal, J. (eds) Computational Materials System Design. Springer, Cham. https://doi.org/10.1007/978-3-319-68280-8_9

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