English

Statistical mechanics of frustrated assemblies and incompatible graphs

Soft Condensed Matter 2024-07-26 v1 Disordered Systems and Neural Networks Materials Science Statistical Mechanics Mathematical Physics math.MP

Abstract

Geometrically frustrated assemblies where building blocks misfit have been shown to generate intriguing phenomena from self-limited growth, fiber formation, to structural complexity. We introduce a graph theory formulation of geometrically frustrated assemblies, capturing frustrated interactions through the concept of incompatible flows, providing a direct link between structural connectivity and frustration. This theory offers a minimal yet comprehensive framework for the fundamental statistical mechanics of frustrated assemblies. Through numerical simulations, the theory reveals new characteristics of frustrated assemblies, including two distinct percolation transitions for structure and stress, a crossover between cumulative and non-cumulative frustration controlled by disorder, and a divergent length scale in their response.

Keywords

Cite

@article{arxiv.2407.18210,
  title  = {Statistical mechanics of frustrated assemblies and incompatible graphs},
  author = {José M. Ortiz-Tavárez and Zhen Yang and Nicholas Kotov and Xiaoming Mao},
  journal= {arXiv preprint arXiv:2407.18210},
  year   = {2024}
}

Comments

11 pages, 9 figures

R2 v1 2026-06-28T17:53:46.436Z