Revealing key structural features hidden in liquids and glasses

H Tanaka, H Tong, R Shi, J Russo - Nature Reviews Physics, 2019 - nature.com
A great success of solid state physics comes from the characterization of crystal structures in
the reciprocal (wave vector) space. The power of structural characterization in Fourier space …

Revealing hidden structural order controlling both fast and slow glassy dynamics in supercooled liquids

H Tong, H Tanaka - Physical Review X, 2018 - APS
The dynamics of a supercooled liquid near the glass transition is characterized by two-step
relaxation, fast β and slow α relaxations. Because of the apparently disordered nature of …

Understanding slow and heterogeneous dynamics in model supercooled glass-forming liquids

I Tah, A Mutneja, S Karmakar - ACS omega, 2021 - ACS Publications
Glasses are ubiquitous in nature. Many common items such as ketchups, cosmetic products,
toothpaste, etc. and metallic glasses are examples of such glassy materials whose …

Metastable liquid properties and surface flow patterns of ultrahigh temperature alloys explored in outer space

H Wang, L Hu, W Xie, J Chang, C Zheng… - Angewandte Chemie …, 2024 - Wiley Online Library
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 …

Machine learning molecular dynamics reveals the structural origin of the first sharp diffraction peak in high-density silica glasses

K Kobayashi, M Okumura, H Nakamura, M Itakura… - Scientific Reports, 2023 - nature.com
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 …

Elastoplasticity mediates dynamical heterogeneity below the mode coupling temperature

RN Chacko, FP Landes, G Biroli, O Dauchot, AJ Liu… - Physical Review Letters, 2021 - APS
As liquids approach the glass transition temperature, dynamical heterogeneity emerges as a
crucial universal feature of their behavior. Dynamic facilitation, where local motion triggers …

Fragility in glassy liquids: A structural approach based on machine learning

I Tah, SA Ridout, AJ Liu - The Journal of Chemical Physics, 2022 - pubs.aip.org
The rapid rise of viscosity or relaxation time upon supercooling is a universal hallmark of
glassy liquids. The temperature dependence of viscosity, however, is quite nonuniversal for …

Unsupervised machine learning study on structural signature of glass transition in metallic glass-forming liquids

JQ Wu, HP Zhang, YF He, MZ Li - Acta Materialia, 2023 - Elsevier
As a liquid is quenched into glassy state, characterizing the glassy order responsible for
glass transition in disordered liquid structures is a longstanding challenge. Here, an …

A genome dependence of metastable phase selection on atomic structure for undercooled liquid Nb90Si10 hypoeutectic alloy

Q Wang, CH Zheng, MX Li, L Hu, HP Wang… - Applied Physics …, 2023 - pubs.aip.org
The phase selection mechanism within undercooled liquid Nb 90 Si 10 hypoeutectic alloy
was investigated by electrostatic levitation technique combined with deep neural network …

Quantifying the link between local structure and cellular rearrangements using information in models of biological tissues

I Tah, TA Sharp, AJ Liu, DM Sussman - Soft Matter, 2021 - pubs.rsc.org
Machine learning techniques have been used to quantify the relationship between local
structural features and variations in local dynamical activity in disordered glass-forming …