Amorphous shear bands in crystalline materials as drivers of plasticity

X Hu, N Liu, V Jambur, S Attarian, R Su, H Zhang… - Nature Materials, 2023 - nature.com
Traditionally, the formation of amorphous shear bands in crystalline materials has been
undesirable, because shear bands can nucleate voids and act as precursors to fracture …

Fundamental links between shear transformation, β relaxation, and string-like motion in metallic glasses

ZY Zhou, Y Sun, L Gao, YJ Wang, HB Yu - Acta Materialia, 2023 - Elsevier
Plastic deformation and relaxation dynamics are two major topics in glass physics.
Secondary (β) relaxation has been assumed to be a relevant plastic mechanism in …

[HTML][HTML] Experimental and molecular dynamics simulation study of structure of liquid and amorphous Ni62Nb38 alloy

Y Zhang, R Ashcraft, MI Mendelev, CZ Wang… - The Journal of …, 2016 - pubs.aip.org
The state-of-the-art experimental and atomistic simulation techniques were utilized to study
the structure of the liquid and amorphous Ni 62 Nb 38 alloy. First, the ab initio molecular …

Fast dynamics in a model metallic glass-forming material

H Zhang, X Wang, HB Yu, JF Douglas - The Journal of Chemical …, 2021 - pubs.aip.org
We investigate the fast β-and Johari–Goldstein (JG) β-relaxation processes, along with the
elastic scattering response of glass-forming (GF) liquids and the boson peak, in a simulated …

A transferable machine-learning framework linking interstice distribution and plastic heterogeneity in metallic glasses

Q Wang, A Jain - Nature communications, 2019 - nature.com
When metallic glasses (MGs) are subjected to mechanical loads, the plastic response of
atoms is non-uniform. However, the extent and manner in which atomic environment …

Nanoglasses: a new kind of noncrystalline material and the way to an age of new technologies?

H Gleiter - Small, 2016 - Wiley Online Library
Today's technologies are primarily based on crystalline materials (metals, semiconductors,
etc.), as their properties can be controlled by varying their chemical and/or defect …

Development of a deep machine learning interatomic potential for metalloid-containing Pd-Si compounds

T Wen, CZ Wang, MJ Kramer, Y Sun, B Ye, H Wang… - Physical Review B, 2019 - APS
Interatomic potentials based on neural-network machine learning (ML) approach to address
the long-standing challenge of accuracy versus efficiency in molecular-dynamics …

A “bond-focused” local atomic environment representation for a high throughput solute interaction spectrum analysis

TP Matson, CA Schuh - Acta Materialia, 2024 - Elsevier
Local atomic environment (LAE) representations have enabled a deeper understanding of
complex alloy configurations, by enabling machine learning and data science approaches to …

Mobility percolation as a source of Johari-Goldstein relaxation in glasses

L Gao, Y Sun, HB Yu - Physical Review B, 2023 - APS
The Johari-Goldstein secondary (β) relaxations are intrinsic features of supercooled liquids
and glasses, and they play a crucial role in several properties of glassy materials. However …

Predicting complex relaxation processes in metallic glass

Y Sun, SX Peng, Q Yang, F Zhang, MH Yang… - Physical Review Letters, 2019 - APS
Relaxation processes significantly influence the properties of glass materials. However,
understanding their specific origins is difficult; even more challenging is to forecast them …