Quasi-One-Dimensional Thermal Breakage
Cristiano Nisoli, Douglas Abraham, Turab Lookman, Avadh Saxena

TL;DR
This paper develops a statistical mechanics framework for understanding thermally induced breakage in one-dimensional nano-structures, revealing regimes with distinct thermal fluctuation behaviors and phase clustering relevant for nano-fabrication.
Contribution
It introduces a general theoretical approach to thermal breakage in nano-scale 1D systems and predicts phase clustering phenomena.
Findings
Identification of regimes with sharp crossovers in breakage probability
Observation of narrow peaks in thermal fluctuations and specific heat
Predictions of phase clustering relevant for nano-fabrication
Abstract
Breakage is generally understood in mechanical terms, yet nano-structures can rupture not only under external loads but also via thermal activation. Here we treat in a general framework the statistical mechanics of thermally induced breakage at the nano-scale for one-dimensional systems. We test it on a simple approximation and find that the probability of breakage controls distinct regimes, characterized by sharp crossovers and narrow peaks in the thermal fluctuations and specific heat. Our work provides predictions on clustering of new phases, of relevance in nano-fabrication.
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.
