0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessDeformability of metallic glasses (MGs) is strongly influenced by their thermomechanical processing history that governs their energy state and local atomic configurations. Here, we reveal that monatomic tantalum MG nanowires, tailored by electropulsing, can attain a remarkable range of deformability, manifesting as either liquid-like flow or brittle fracture. Inherent structural heterogeneity on the level of atomic order dominates the plasticity and deformation transition of monatomic MGs. By tracking atomic rearrangement during straining, we find the dispersive and sparse distribution of local order is associated with necking, yet percolation of medium-range order constrains the deformability and results in brittle failure. This work sheds new light on the structure-property relationships in MGs, which has important implications for the design of nanoscale MGs with tunable mechanical properties.
Youran Hong, Han Wang, Xing Li, Li Zhong, Hangman Chen, Ze Zhang, Penghui Cao, Robert O. Ritchie, Jiangwei Wang (2023). Structural heterogeneity governing deformability of metallic glass. Matter, 6(4), pp. 1160-1172, DOI: 10.1016/j.matt.2023.01.016.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2023
Authors
9
Datasets
0
Total Files
0
Language
English
Journal
Matter
DOI
10.1016/j.matt.2023.01.016
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access