Tracking the time evolution of soft matter systems via topological structural heterogeneity

Abstract

Topological data analysis is an important framework for quantifying the structural and morphological features of soft materials. Here, structural heterogeneity is introduced as a quantitative measure of non-equilibrium mesoscopic order in soft matter and used to track the time-evolution of liquid crystal phase transitions.