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FAIR Big Data in the Materials Design Domain

Encyclopedia of Big Data Technologies

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To speed up the progress in the field of materials design, a number of challenges related to big data need to be addressed. This entry discusses these challenges and shows the semantic technologies that alleviate the problems related to Variety, Variability, Veracity and FAIRness.

Overview

Materials design and materials informatics are central for technological progress, not the least in the green engineering domain. Many traditional materials contain toxic or critical raw materials, whose use should be avoided or eliminated. Also, there is an urgent need to develop new environmentally friendly energy technology. Presently, relevant examples of materials design challenges include energy storage, solar cells, thermoelectrics, and magnetic transport (Ceder and Persson 2013; Jain et al. 2013; Curtarolo et al. 2013).

The space of potentially useful materials yet to be discovered—the so-called “chemical white space”—is immense. The possible combinations of, say, up to six...

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Author information

Authors and Affiliations

  1. Swedish e-Science Research Centre and Linköping University, Linköping, Sweden

    Patrick Lambrix, Rickard Armiento & Huanyu Li

  2. University of Gävle, Gävle, Sweden

    Patrick Lambrix

  3. Swedish e-Science Research Centre and Royal Institute of Technology, Stockholm, Sweden

    Anna Delin

Authors
  1. Patrick Lambrix
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  2. Rickard Armiento
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  3. Anna Delin
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  4. Huanyu Li
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Corresponding author

Correspondence to Patrick Lambrix .

Editor information

Editors and Affiliations

  1. Sch of Info Techno, Building J12, University of Sydney Sch of Info Techno, Building J12, Sydney, Australia

    Albert Zomaya

  2. Department of Computer Science, Karlstad University, Karlstad, Sweden

    Javid Taheri

  3. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Sherif Sakr

Section Editor information

  1. Exascale Infolab, University of Fribourg, Fribourg, Switzerland

    Philippe Cudré-Mauroux

  2. Linköping University, Linköping, Sweden

    Olaf Hartig PhD

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Lambrix, P., Armiento, R., Delin, A., Li, H. (2022). FAIR Big Data in the Materials Design Domain. In: Zomaya, A., Taheri, J., Sakr, S. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_293-2

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  • DOI: https://doi.org/10.1007/978-3-319-63962-8_293-2

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Chapter history

  1. Latest

    Big Semantic Data Processing in the Materials Design Domain
    Published:
    22 March 2018

    DOI: https://doi.org/10.1007/978-3-319-63962-8_293-1

  2. Original

    FAIR Big Data in the Materials Design Domain
    Published:
    24 February 2012

    DOI: https://doi.org/10.1007/978-3-319-63962-8_293-2

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