Low-speed fracture instabilities in a brittle crystal

By James R. Kermode, T. Albaret, D. Sherman, N. Bernstein, Peter Gumbsch, M. Payne, Gábor Csányi, A. De Vita. Nature, 2008

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Machine Learning a General-Purpose Interatomic Potential for Silicon (2018, methodology): “To test the accuracyof our newGAPmodel for fracture,we considered the well-studied ð111Þ1⁄211̄0 cleavage system, where fracture is known to exhibit a low-speed instability triggered by the formation of a crack-tip reconstruction [204].”
Effective toughness of heterogeneous media (2014, background): “, [34, 37, 28]), the effect of heterogeneities on fracture properties as well as the synthesis techniques occur at the neglected middle scales ranging from tens of nanometers to hundreds of microns that spans atoms to macroscopic continuum.”
Atomistic aspects of fracture (2015, background): “An early application of the technique showed that nanoscale dynamical instabilities during brittle fracture propagation on {111}-type cleavage planes in single crystal silicon can lead, via a positive feedback mechanism, to experimentally observable surface features (Kermode et al. 2008).”
Many-Body Coarse-Grained Interactions Using Gaussian Approximation Potentials. (2016, background): “assist us in devising and refining experiments, and can help us understand experimental observations [2].”