Metastability and ripening of multi-component liquid mixtures

Fuente: arXiv
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Hauptverfasser: Bartolucci, Giacomo, Olmeda, Fabrizio
Format: Preprint
Veröffentlicht: 2026
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author Bartolucci, Giacomo
Olmeda, Fabrizio
author_facet Bartolucci, Giacomo
Olmeda, Fabrizio
contents Understanding how multi-component liquid mixtures undergo phase separation is central to elucidating biophysical organization in the cell. Here, combining analytical and numerical results, we characterise the dynamics of mixtures with disordered interactions among the components. We first study how two coexisting phases become unstable, leading to multiphase coexistence. We then show that the scaling of droplet radius as $t^{1/3}$ and droplet number as $n^{-2/3}$, characteristic of Ostwald ripening in two dimensions, can be severely delayed. This delay arises from glass-like relaxation and the emergence of long-lived metastable states characterized by different wetting angles.
format Preprint
id arxiv_https___arxiv_org_abs_2602_04999
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Metastability and ripening of multi-component liquid mixtures
Bartolucci, Giacomo
Olmeda, Fabrizio
Soft Condensed Matter
Disordered Systems and Neural Networks
Biological Physics
Understanding how multi-component liquid mixtures undergo phase separation is central to elucidating biophysical organization in the cell. Here, combining analytical and numerical results, we characterise the dynamics of mixtures with disordered interactions among the components. We first study how two coexisting phases become unstable, leading to multiphase coexistence. We then show that the scaling of droplet radius as $t^{1/3}$ and droplet number as $n^{-2/3}$, characteristic of Ostwald ripening in two dimensions, can be severely delayed. This delay arises from glass-like relaxation and the emergence of long-lived metastable states characterized by different wetting angles.
title Metastability and ripening of multi-component liquid mixtures
topic Soft Condensed Matter
Disordered Systems and Neural Networks
Biological Physics
url https://arxiv.org/abs/2602.04999