A geometric approach to predicting plasticity in disordered solids
Long-Zhou Huang, Xu Yang, Min-Qiang Jiang, Yun-Jiang Wang, Matteo Baggioli

TL;DR
This paper introduces a geometric filtering method based on Nye dislocation density to improve the prediction of plastic events in disordered solids, outperforming vortex-based approaches especially at small strains.
Contribution
It presents a novel geometrical filter that distinguishes true plastic precursors from spurious vortices in vibrational modes of glasses.
Findings
Filtered approach outperforms vortex-based method in predicting plasticity.
Method is particularly effective at small strains.
Provides a more robust prediction tool from initial undeformed states.
Abstract
It was recently shown that vortex-like topological defects with negative winding number in the vibrational modes of a two-dimensional glass under quasistatic shear correlate strongly with plastic events, offering a promising route to predict them. However, many of these vortices, a number that actually grows quadratically with mode frequency, are entirely unrelated to plasticity and arise simply from the underlying plane-wave structure of the modes. This raises doubts about the fundamental relevance of such defects to plastic rearrangements and limits their predictive power. Here, we introduce a geometrical filter based on the Nye dislocation density that, when applied to the vibrational modes, removes these spurious defects and reveals the true plastic precursors. Using simulations of a two-dimensional model glass, we show that this filtered approach consistently outperforms the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMaterial Dynamics and Properties · Metallic Glasses and Amorphous Alloys · Quasicrystal Structures and Properties
