Evidence map›Paper›PMID 42452860›Full record

ArticleSmall methods2026

Local Structural Signatures of Shear Bands in Metallic Glasses via Electron Nanodiffraction.

Huyen T Pham, Daniel East, Chunguang Tang, Matteo Baggioli, Alessio Zaccone, Timothy C Petersen, Amelia C Y Liu

Abstract read
In one paragraph

Article in Small methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Huyen T PhamSchool of Physics and Astronomy, Monash University, Clayton, Victoria, Australia.
Daniel EastManufacturing Research Unit, CSIRO, Research Way, Clayton, Victoria, Australia.
Chunguang TangInstitute for Frontier Materials, Deakin University, Geelong, Victoria, Australia.
Matteo BaggioliWilczek Quantum Center, School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, Jiangsu, China.
Alessio ZacconeDepartment of Physics "A. Pontremoli", University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0002-6673-7043
Timothy C PetersenMonash Centre For Electron Microscopy, Monash University, Clayton, Victoria, Australia.
Amelia C Y LiuSchool of Physics and Astronomy, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0001-7764-5067

Funding

Australian Research Council DP250102966Australian Research Council FT180100594
6 · The paper itself

Abstract

Structural changes in a glass due to deformation are subtle and difficult to quantify using conventional imaging and diffraction techniques. Additionally, transmission electron microscopy (TEM) sample preparation using energetic ions often causes structural modifications that are challenging to detect in disordered materials. By preparing inverted cross-sectional transmission electron microscopy lamellae of shear bands formed during bending, and employing cryogenic ion polishing to minimize preparation artefacts, we preserve the intrinsic atomic structure. Using sensitive, new parameters derived from electron nano-diffraction, we directly probe the local nanoscale structure in the plastic zone beneath surface shear steps in metallic glasses. Mapping of local centrosymmetry and strain reveals nanoscale, stripe-like regions oriented at ≈45° to the applied strain where strain has localized. These regions exhibit a high density of local atomic structures that have transformed to configurations with reduced centrosymmetry (≈1%-2%), and increased magnitudes of shear and normal strain. Our results demonstrate that plastic deformation in metallic glasses arises from coordinated nanoscale structural transformations, providing direct experimental insight into a long-standing problem.

Indexed as

centrosymmetrydeformationelectron nanodiffractionmetallic glassshear bandstrain

Identifiers

PMID42452860
PMCPMC13450137

What OpenQuestion holds

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.