Bayesian Machine Learning in metamaterial design: Fragile becomes supercompressible

Miguel A. Bessa*, Piotr Głowacki, Michael Houlder

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    138 Citations (Scopus)
    289 Downloads (Pure)

    Fingerprint

    Dive into the research topics of 'Bayesian Machine Learning in metamaterial design: Fragile becomes supercompressible'. Together they form a unique fingerprint.

    INIS

    Material Science