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Research Output

A micro-mechanics perspective to the invariant-based approach to stiffness

Arteiro, A., Pereira, L. F., Bessa, M. A., Furtado, C. & Camanho, P. P., 2019, In : Composites Science and Technology. 176, p. 72-80

Research output: Contribution to journalArticleScientificpeer-review

  • 1 Citation (Scopus)

    A numerical Bayesian-calibrated characterization method for multiscale prepreg preforming simulations with tension-shear coupling

    Zhang, W., Bostanabad, R., Liang, B., Su, X., Zeng, D., Bessa, M. A., Wang, Y., Chen, W. & Cao, J., 2019, In : Composites Science and Technology. 170, p. 15-24

    Research output: Contribution to journalArticleScientificpeer-review

  • 8 Citations (Scopus)

    Bayesian Machine Learning in Metamaterial Design: Fragile Becomes Supercompressible

    Bessa, M. A., Głowacki, P. & Houlder, M., 2019, In : Advanced Materials. 31, 48, 6 p., 1904845.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 10 Citations (Scopus)
    96 Downloads (Pure)

    Deep learning predicts path-dependent plasticity

    Mozaffar, M., Bostanabad, R., Chen, W., Ehmann, K., Cao, J. & Bessa, M. A., 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 52, p. 26414-26420

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 6 Citations (Scopus)
    55 Downloads (Pure)

    Design of ultra-thin shell structures in the stochastic post-buckling range using Bayesian machine learning and optimization

    Bessa, M. A. & Pellegrino, S., 2018, In : International Journal of Solids and Structures. 139-140, p. 174-188

    Research output: Contribution to journalArticleScientificpeer-review

  • 11 Citations (Scopus)

    Press / Media

    Bicycles, dinner tables & umbrellas could soon become pocket-sized

    Miguel Bessa

    15/10/19

    1 item of Media coverage

    Press/Media: Public Engagement Activities