Ductile and brittle yielding of athermal amorphous solids: a mean-field paradigm beyond the random field Ising model
Jack T. Parley, Peter Sollich

TL;DR
This paper develops a mean-field theory for ductile and brittle yielding in amorphous solids, incorporating long-range elastic interactions and dynamics, providing new insights into avalanche behavior and critical phenomena beyond the RFIM paradigm.
Contribution
It introduces a unified elastoplastic framework that accounts for elasticity and dynamics, extending the RFIM analogy to better describe yielding transitions.
Findings
Divergence of peak susceptibility with inverse shear rate.
Different avalanche behaviors compared to RFIM.
Finite-size effects near the brittle yield point.
Abstract
Developing a unified theory describing both ductile and brittle yielding constitutes a fundamental challenge of non-equilibrium statistical physics. Recently, it has been proposed that the nature of the yielding transition is controlled by physics akin to that of the quasistatically driven Random field Ising model (RFIM), which has served as the paradigm for understanding the effect of quenched disorder in slowly driven systems with short-ranged interactions. However, this theoretical picture neglects both the dynamics of, and the elasticity-induced long-ranged interactions between, the mesoscopic material constituents. Here, we address these two aspects and provide a unified theory building on the H\'ebraud-Lequeux elastoplastic description. The first aspect is crucial to understanding the competition between the imposed deformation rate and the finite timescale of plastic…
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
TopicsTheoretical and Computational Physics · Material Dynamics and Properties · Topological and Geometric Data Analysis
