Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–12 of 12 results
Advanced filters: Author: Michael Zaiser Clear advanced filters

  • The relationship between the strain rate and micro-scale deformation in metals is still poorly understood. Here the authors use discrete dislocation dynamics and molecular dynamics to establish a universal relationship between material strength, dislocation density, strain rate and dislocation mobility in fcc metals.

    • Haidong Fan
    • Qingyuan Wang
    • Michael Zaiser
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-11

  • The universality class for plastic yield in amorphous materials remains controversial. Here authors present a tensorial mesoscale model that captures both complex shear patterns and avalanche scaling behaviour, which differs from mean-field models and suggests a distinct type of critical phenomenon.

    • Zoe Budrikis
    • David Fernandez Castellanos
    • Stefano Zapperi
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-10

  • When deforming snow slowly, it resists. But when applying a deformation rapidly, it gives in more easily. Experiments now reveal propagating deformation bands and the localization of strain in compressed snow — both natural and artificial.

    • Thomas W. Barraclough
    • Jane R. Blackford
    • Michael Zaiser
    Research
    Nature Physics
    Volume: 13, P: 272-275

  • 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

  • The geometry of mechanical metamaterials is designed to achieve specific functions, often taking inspiration from biological structures. This Perspective article argues that disorder, commonly observed in nature but traditionally avoided in metamaterials, provides interesting and unexplored design opportunities.

    • Michael Zaiser
    • Stefano Zapperi
    Reviews
    Nature Reviews Physics
    Volume: 5, P: 679-688