Ontology highlight
ABSTRACT:
SUBMITTER: Boattini E
PROVIDER: S-EPMC7603397 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Nature communications 20201030 1
Few questions in condensed matter science have proven as difficult to unravel as the interplay between structure and dynamics in supercooled liquids. To explore this link, much research has been devoted to pinpointing local structures and order parameters that correlate strongly with dynamics. Here we use an unsupervised machine learning algorithm to identify structural heterogeneities in three archetypical glass formers-without using any dynamical information. In each system, the unsupervised m ...[more]