This perspective article reviews arguments that glass-forming liquids are different from those
of standard liquid-state theory, which typically have a viscosity in the mPa· s range and …

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 …

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 …

Unravelling the connections between microscopic structure, emergent physical properties
and slow dynamics has long been a challenge when studying the glass transition. The …

We use numerical simulations to study the dynamics of dense assemblies of self-propelled
particles in the limit of extremely large, but finite, persistence times. In this limit, the system …

The metastable liquid properties and chemical bonds beyond 2000 K remain a huge
challenge for ground‐based research on liquid materials chemistry. We show the strong …

We study the glass transition by exploring a broad class of kinetic rules that can significantly
modify the normal dynamics of supercooled liquids while maintaining thermal equilibrium …

Mesoscale elasto-plastic models, with statistically distributed structural properties and elastic
coupling between discrete blocks, have been shown to quantitatively reproduce the main …

Soft, quasilocalized excitations (QLEs) are known to generically emerge in a broad class of
disordered solids and to govern many facets of the physics of glasses, from wave …