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Issue 3, 2018
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Machine learning and data science in materials design: a themed collection

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Abstract

Guest Editors Andrew Ferguson and Johannes Hachmann introduce this themed collection of papers showcasing the latest research leveraging data science and machine learning approaches to guide the understanding and design of hard, soft, and biological materials with tailored properties, function and behaviour.

Graphical abstract: Machine learning and data science in materials design: a themed collection

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Publication details

The article was received on 27 Mar 2018, accepted on 27 Mar 2018 and first published on 25 Apr 2018


Article type: Editorial
DOI: 10.1039/C8ME90007H
Citation: Mol. Syst. Des. Eng., 2018,3, 429-430

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    Machine learning and data science in materials design: a themed collection

    A. Ferguson and J. Hachmann, Mol. Syst. Des. Eng., 2018, 3, 429
    DOI: 10.1039/C8ME90007H

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