Training-induced criticality in martensites
Francisco-Jose Perez-Reche, Lev Truskinovsky, Giovanni Zanzotto

TL;DR
This paper explains how martensites self-organize into a critical state during cyclic training, driven by phase transformations and lattice defects, modeled through a dynamical system that reproduces key experimental observations.
Contribution
It introduces a novel dynamical model linking phase transformation and defect activity to criticality in martensites, capturing experimental phenomena.
Findings
Reproduces power-law statistics in martensite behavior
Models hysteresis shakedown and asymmetric signals
Shows correlated disorder consistent with experiments
Abstract
We propose an explanation for the self-organization towards criticality observed in martensites during the cyclic process known as `training'. The scale-free behavior originates from the interplay between the reversible phase transformation and the concurrent activity of lattice defects. The basis of the model is a continuous dynamical system on a rugged energy landscape, which in the quasi-static limit reduces to a sandpile automaton. We reproduce all the principal observations in thermally driven martensites, including power-law statistics, hysteresis shakedown, asymmetric signal shapes, and correlated disorder.
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.
