Deciphering a structural signature of glass dynamics by machine learning

H Liu, MM Smedskjaer, M Bauchy - Physical Review B, 2022 - APS
The dynamics of atoms plays a key role in governing various dynamical and transport
properties of glasses. However, it remains elusive which structural features (if any) control …

Hidden spatiotemporal sequence in transition to shear band in amorphous solids

ZY Yang, YJ Wang, LH Dai - Physical Review Research, 2022 - APS
Localization of plastic flow into a narrow shear band is a fundamental and ubiquitous
nonequilibrium phenomenon in amorphous solids. Because of the intrinsic entangling of …

Global memory from local hysteresis in an amorphous solid

NC Keim, J Hass, B Kroger, D Wieker - Physical Review Research, 2020 - APS
A disordered material that cannot relax to equilibrium, such as an amorphous or glassy
solid, responds to deformation in a way that depends on its past. In experiments we train a …

Assessing the structural heterogeneity of supercooled liquids through community inference

J Paret, RL Jack, D Coslovich - The Journal of chemical physics, 2020 - pubs.aip.org
We present an information-theoretic approach inspired by distributional clustering to assess
the structural heterogeneity of particulate systems. Our method identifies communities of …

Machine learning atomic-scale stiffness in metallic glass

ZH Peng, ZY Yang, YJ Wang - Extreme Mechanics Letters, 2021 - Elsevier
Due to lack of either translational or rotational symmetries at atomic-scale, predicting
properties of amorphous materials from static structure is a challenging task. To circumvent …

Local symmetry predictors of mechanical stability in glasses

ACY Liu, ED Bøjesen, RF Tabor, ST Mudie… - Science …, 2022 - science.org
The mechanical properties of crystals are controlled by the translational symmetry of their
structures. But for glasses with a disordered structure, the link between the symmetry of local …

[HTML][HTML] Assessing the utility of structure in amorphous materials

D Wei, J Yang, MQ Jiang, LH Dai, YJ Wang… - The Journal of …, 2019 - pubs.aip.org
This paper presents a set of general strategies for the analysis of structure in amorphous
materials and a general approach to assessing the utility of any selected structural …

[HTML][HTML] Effective subgrouping enhances machine learning prediction in complex materials science phenomena: Inoue's subgrouping in discovering bulk metallic …

G Liu, S Sohn, CS O'Hern, AC Gilbert, J Schroers - Acta Materialia, 2024 - Elsevier
Addressing complex materials science problems through machine learning (ML) is
challenging. A primary reason for the challenge is that the underlying controlling …

Correlation between vibrational anomalies and emergent anharmonicity of the local potential energy landscape in metallic glasses

ZY Yang, YJ Wang, A Zaccone - Physical Review B, 2022 - APS
The boson peak (BP) is a universal feature in the Raman and inelastic scattering spectra of
both disordered and crystalline materials. Here, through a set of atomistically resolved …

[HTML][HTML] The brittle-to-ductile transition in aluminosilicate glasses is driven by topological and dynamical heterogeneity

L Tang, MM Smedskjaer, M Bauchy - Acta Materialia, 2023 - Elsevier
Amorphous materials can exhibit varying degrees of nanoscale ductility depending on their
atomic structure. Despite its critical importance for applications, the physical origin that …