# Metallic glasses heterogeneous and time sensitive small-scale plasticity probed through nanoindentation and machine learning clustering

https://mdr.nims.go.jp/datasets/c97aaa5b-2cce-441f-aa9d-75ac3a25a5e5

## File

- [J Mater Res Tech 2025.pdf](https://mdr.nims.go.jp/filesets/fa99bf7f-0c20-4982-ba5c-a27ac8cfc481/download) ([Detail](https://mdr.nims.go.jp/filesets/fa99bf7f-0c20-4982-ba5c-a27ac8cfc481.md))

## Id

c97aaa5b-2cce-441f-aa9d-75ac3a25a5e5

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-12-11T06:40:12.062292Z

## Updated at

2025-12-11T23:30:17.661334Z

## Published at

2025-12-11T23:24:08.351354Z

## Doi



## First published url

https://doi.org/10.1016/j.jmrt.2025.08.135

## Date published

2025-08-23

## Recorded date published

2025-9

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Metallic glasses heterogeneous and time sensitive small-scale plasticity
    probed through nanoindentation and machine learning clustering
  title_type: original
  lang: en

## Description

- description: The small-scale plasticity and creep behavior of an annealed Zr50Cu40Al10
    bulk metallic glass (BMG) were investigated using nanoindentation testing. Four
    load functions, differing only in their holding times of 0, 10, 30, and 60 s at
    peak load, were applied. The results show that the BMG exhibits spatially heterogeneous
    and time-sensitive plastic behavior. Specifically, the elastic energy contribution
    remains consistent across all holding times, and both the average value and standard
    deviation of plastic energy increase with longer holding times. Machine learning
    clustering based on hardness and creep displacement suggested three clusters and
    the 60-s holding time measurements were analyzed further. Creep analysis showed
    nearly constant non-linear behavior across clusters, with a linear term emerging
    at larger creep displacements and an increasing time-dependency coefficient. The
    cluster with the greatest creep displacements also exhibited the largest plastic
    energy. Statistical analysis of the distribution of plastic energy values facilitated
    the identification of potential deformation mechanisms within the clusters.
  description_type: abstract
  lang: und

## Creator

- name: Silvia Pomes
  role: author
  orcid: https://orcid.org/0000-0002-0536-9427
- name: Takayuki Suzuki
  role: author
  orcid: https://orcid.org/0009-0007-5907-568X
- name: Tomoya Enokizono
  role: author
  orcid: https://orcid.org/0009-0000-4563-1189
- name: Nozomu Adachi
  role: author
- name: Masato Wakeda
  role: author
  orcid: https://orcid.org/0000-0002-6377-1318
- name: Takahito Ohmura
  role: author
  orcid: https://orcid.org/0000-0001-7528-566X

## Contact agent



## Publisher

organization: Elsevier BV

## Managing organization



## Keyword

- subject: nanoindentation
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Journal of Materials Research and Technology
  issn: '22387854'
  volume: '38'
  start_page: 3464
  end_page: 3471

## Conference



## Related item



## Funding

- funder_name: Government of Japan Ministry of Education Culture Sports Science and
    Technology

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: fa99bf7f-0c20-4982-ba5c-a27ac8cfc481
  filename: J Mater Res Tech 2025.pdf
  content_type: application/pdf
  size: 3927258
  md5: 69d3c310e0e33daf53bc05a2afeebc66

## Thumbnail

fileset_id: fa99bf7f-0c20-4982-ba5c-a27ac8cfc481
filename: J Mater Res Tech 2025.pdf