Attraction controls the entropy of fluctuations in isosceles triangular networks
Fabio Leoni, Yair Shokef

TL;DR
This paper investigates how attraction influences the entropy of fluctuations in isosceles triangular networks, revealing a mechanism that determines the stable phase through entropy changes, applicable across different dimensions.
Contribution
It demonstrates that attraction can invert the stable phase by altering fluctuation entropy, using exact and numerical methods for harmonic interactions in 2D and 3D networks.
Findings
Attraction causes phase inversion via entropy change.
Exact entropy expressions for harmonic interactions are derived.
The attraction-mediated phase selection mechanism is general across dimensions.
Abstract
We study two-dimensional triangular-network models, which have degenerate ground states composed of straight or randomly-zigzagging stripes and thus sub-extensive residual entropy. We show that attraction is responsible for the inversion of the stable phase by changing the entropy of fluctuations around the ground-state configurations. By using a real-space shell-expansion method, we compute the exact expression of the entropy for harmonic interactions, while for repulsive harmonic interactions we obtain the entropy arising from a limited subset of the system by numerical integration. We compare these results with a three-dimensional triangular-network model, which shows the same attraction-mediated selection mechanism of the stable phase, and conclude that this effect is general with respect to the dimensionality of the system.
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.
