Year: 2026
Type: article
Abstract: Predicting yielding in metallic glasses remains challenging because plasticity emerges without clear structural precursors. Here, a physically grounded Bayesian framework is introduced to predict the stress-strain response up to the yield point using plastic strain accumulation already in the nominally elastic regime. Across Cu-Zr(-Al) metallic glasses with varying annealing, two limiting growth laws for plastic strain, power-law and exponential, are identified and linked to distinct microscopic plastic activity patterns. By inferring these growth parameters from stress-strain data below 5% strain, the approach enables early, interpretable predictions of macroscopic deformation and failure.
Source: Physical Review Materials
DOI: 10.1103/xf5s-kdyv
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: G2159277593, G2165038271, Novel depinning phase transitions: dislocations in
complex alloys, G2570899713, G384101947, G3995390610, G434337789, Upgrading the Survey of Health, Ageing and Retirement in Europe – preparatory phase, G442103306, G4674673147, G4724989785, G4937274068, G5699177366, G629666837, G830146419, G8327093047, Centre of Excellence in Multifunctional Materials for Industrial and Medical Applications
OpenAlex ID: W4415346134
