Phase Transition in a Self-repairing Random Network
A. S. Ioselevich, D. S. Lyubshin

TL;DR
This paper studies a self-repairing random network model where bonds are removed randomly but only if the network remains connected, revealing a phase transition at a critical bond concentration where the network's backbone disappears.
Contribution
It introduces a self-repairing bond percolation model and identifies a phase transition point where the network's backbone vanishes, relevant for porous materials and polymer degradation.
Findings
Phase transition at finite bond concentration p_c
Backbone of the network vanishes at p_c
Network remains dense and fractal below p_c
Abstract
We consider a network, bonds of which are being sequentially removed; that is done at random, but conditioned on the system remaining connected (Self-Repairing Bond Percolation SRBP). This model is the simplest representative of a class of random systems for which forming of isolated clusters is forbidden. It qualitatively describes the process of fabrication of artificial porous materials and degradation of strained polymers. We find a phase transition at a finite concentration of bonds , at which the backbone of the system vanishes; for all the network is a dense fractal.
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