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Amorphous shear bands in crystalline materials as drivers of plasticity
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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
Interatomic potentials based on neural-network machine learning (ML) approach to address
the long-standing challenge of accuracy versus efficiency in molecular-dynamics …
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 …
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 …
and glasses, and they play a crucial role in several properties of glassy materials. However …
Predicting complex relaxation processes in metallic glass
Relaxation processes significantly influence the properties of glass materials. However,
understanding their specific origins is difficult; even more challenging is to forecast them …
understanding their specific origins is difficult; even more challenging is to forecast them …