Beyond the average: spatial and temporal fluctuations in oxide glass-forming systems

KA Kirchner, DR Cassar, ED Zanotto, M Ono… - Chemical …, 2022 - ACS Publications
Atomic structure dictates the performance of all materials systems; the characteristic of
disordered materials is the significance of spatial and temporal fluctuations on composition …

[HTML][HTML] From femtoseconds to hours—measuring dynamics over 18 orders of magnitude with coherent x-rays

F Lehmkühler, W Roseker, G Grübel - Applied Sciences, 2021 - mdpi.com
X-ray photon correlation spectroscopy (XPCS) enables the study of sample dynamics
between micrometer and atomic length scales. As a coherent scattering technique, it …

[HTML][HTML] Revealing the role of liquid preordering in crystallisation of supercooled liquids

YC Hu, H Tanaka - Nature communications, 2022 - nature.com
The recent discovery of non-classical crystal nucleation pathways has revealed the role of
fluctuations in the liquid structural order, not considered in classical nucleation theory. On …

Three-dimensional atomic packing in amorphous solids with liquid-like structure

Y Yuan, DS Kim, J Zhou, DJ Chang, F Zhu… - Nature materials, 2022 - nature.com
Liquids and solids are two fundamental states of matter. However, our understanding of their
three-dimensional atomic structure is mostly based on physical models. Here we use atomic …

[HTML][HTML] Liquid–liquid transition and polyamorphism

H Tanaka - The Journal of Chemical Physics, 2020 - pubs.aip.org
Two or more liquid states may exist even for single-component substances, which is known
as liquid polymorphism, and the transition between them is called liquid–liquid transition …

[HTML][HTML] Topological nature of the liquid–liquid phase transition in tetrahedral liquids

A Neophytou, D Chakrabarti, F Sciortino - Nature Physics, 2022 - nature.com
The first-order phase transition between two tetrahedral networks of different density—
introduced as a hypothesis to account for the anomalous behaviour of certain …

Predicting dynamic heterogeneity in glass-forming liquids by physics-inspired machine learning

G Jung, G Biroli, L Berthier - Physical Review Letters, 2023 - APS
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 …

[HTML][HTML] Autonomously revealing hidden local structures in supercooled liquids

E Boattini, S Marín-Aguilar, S Mitra, G Foffi… - Nature …, 2020 - nature.com
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 …

Scaling description of dynamical heterogeneity and avalanches of relaxation in glass-forming liquids

A Tahaei, G Biroli, M Ozawa, M Popović, M Wyart - Physical Review X, 2023 - APS
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 …

Fast crystal growth at ultra-low temperatures

Q Gao, J Ai, S Tang, M Li, Y Chen, J Huang, H Tong… - Nature Materials, 2021 - nature.com
It is believed that the slow liquid diffusion and geometric frustration brought by a rapid, deep
quench inhibit fast crystallization and promote vitrification. Here we report fast crystal growth …