Revealing key structural features hidden in liquids and glasses
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 …
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
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 …
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 …
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 …
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 …
a characteristic feature of medium-range order (MRO) in amorphous materials with a …
Elastoplasticity mediates dynamical heterogeneity below the mode coupling temperature
As liquids approach the glass transition temperature, dynamical heterogeneity emerges as a
crucial universal feature of their behavior. Dynamic facilitation, where local motion triggers …
crucial universal feature of their behavior. Dynamic facilitation, where local motion triggers …
Fragility in glassy liquids: A structural approach based on machine learning
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 …
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
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 …
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 …
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
Machine learning techniques have been used to quantify the relationship between local
structural features and variations in local dynamical activity in disordered glass-forming …
structural features and variations in local dynamical activity in disordered glass-forming …