Using artificial neural networks to predict grain boundary energies

S Echeverri Restrepo, S Tamayo Giraldo, BJ Thijsse

    Research output: Contribution to journalArticleScientificpeer-review

    16 Citations (Scopus)
    Original languageEnglish
    Pages (from-to)170-173
    Number of pages4
    JournalComputational Materials Science
    Volume86
    DOIs
    Publication statusPublished - 2014

    Bibliographical note

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    Available online 18-02-2014

    Keywords

    • CWTS JFIS < 0.75

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