We provide a theoretical description of dynamical heterogeneities in glass-forming liquids,
based on the premise that relaxation occurs via local rearrangements coupled by elasticity …

We study the role of elasticity-induced facilitation on the dynamics of glass-forming liquids by
a coarse-grained two-dimensional model in which local relaxation events, taking place by …

The crystallization of materials from a suspension determines the structure and function of
the final product, and numerous pieces of evidence have pointed out that the classical …

Structural defects control the kinetic, thermodynamic and mechanical properties of glasses.
For instance, rare quantum tunneling two-level systems (TLS) govern the physics of glasses …

The first sharp diffraction peak (FSDP) in the total structure factor has long been regarded as
a characteristic feature of medium-range order (MRO) in amorphous materials with a …

The relationship between structure and dynamics in glassy fluids remains an intriguing open
question. Recent work has shown impressive advances in our ability to predict local …

Memory effects are ubiquitous in a wide variety of complex physical phenomena, ranging
from glassy dynamics and metamaterials to climate models. The Generalized Langevin …

Here we introduce a variation of the trap model of supercooled liquids based on softness, a
particle-based variable identified by machine learning that quantifies the local structural …

We introduce a machine-learning approach to predict the complex non-Markovian dynamics
of supercooled liquids from static averaged quantities. Compared to techniques based on …

We develop a machine learning model, which predicts structural relaxation from amorphous
supercooled liquid structures. The trained networks are able to predict dynamic …