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Showing 1–7 of 7 results
Advanced filters: Author: Silvia Bonfanti Clear advanced filters

  • A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

    • Mari E. K. Niemi
    • Juha Karjalainen
    • Chloe Donohue
    ResearchOpen Access
    Nature
    Volume: 600, P: 472-477

  • Efficient strategies to optimize metamaterial design for specific applications are urgently needed despite the rapid progress in this area. Here the authors propose a computational method combining an optimization algorithm with discrete element simulations for the automatic design of mechanical metamaterial actuators.

    • Silvia Bonfanti
    • Roberto Guerra
    • Stefano Zapperi
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-10

  • The sheer number of parameters in deep learning makes the physical interpretation of failure predictions in glasses challenging. Here the authors use Grad-CAM to reveal the role of topological defects and local potential energies in failure predictions.

    • Francesc Font-Clos
    • Marco Zanchi
    • Stefano Zapperi
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-11

  • Computational tools have recently empowered mechanical metamaterials design. In this Perspective, advances to these approaches are discussed, notably mechanism-based design, topology optimization, the use of machine learning and the challenges for additive-manufactured metamaterial structures.

    • Silvia Bonfanti
    • Stefan Hiemer
    • Stefano Zapperi
    Reviews
    Nature Computational Science
    Volume: 4, P: 574-583