Amorphous solids, or glasses, are distinguished from crystalline solids by their lack of long-
range structural order. At the level of two-body structural correlations, glassformers show no …

The question of whether the dramatic slowing down of the dynamics of glass-forming liquids
near the structural glass transition is caused by the growth of one or more correlation lengths …

We provide here a brief perspective on the glass transition field. It is an assessment, written
from the point of view of theory, of where the field is and where it seems to be heading. We …

We introduce GlassMLP, a machine learning framework using physics-inspired structural
input to predict the long-time dynamics in deeply supercooled liquids. We apply this deep …

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 …

Predicting the local dynamics of supercooled liquids based purely on local structure is a key
challenge in our quest for understanding glassy materials. Recent years have seen an …

We describe the topological cluster classification (TCC) algorithm. The TCC detects local
structures with bond topologies similar to isolated clusters which minimise the potential …

Nucleation is an activated process in which the system has to overcome a free energy
barrier in order for a first-order phase transition between the metastable and the stable …

We consider unsupervised learning methods for characterizing the disordered microscopic
structure of supercooled liquids and glasses. Specifically, we perform dimensionality …

Colloidal gels constitute an important class of materials found in many contexts and with a
wide range of applications. Yet as matter far from equilibrium, gels exhibit a variety of time …