Publication
Title
Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni micropillars
Author
Abstract
The dataset together with the corresponding Python scripts and Jupyter notebooks presented in this article are supplementary data for the work presented in Samaee et al., 2019 [1]. The data itself consists of two parts: the simulation data that was used in [1] to analyze the effect of a particular grain boundary on curved dislocations and the precession electron diffraction (PED) strain maps together with post-processed data for analyzing details of the observed dislocation vein structures. Additionally, the complete stress tensor components, which are not shown in [1], have also been included. The data sets are accompanied by Python code explaining the file formats and showing how to post-process the data. (c) 2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Language
English
Source (journal)
Data in Brief
Publication
Amsterdam : Elsevier , 2019
ISSN
2352-3409
DOI
10.1016/J.DIB.2019.104724
Volume/pages
27 (2019) , 5 p.
Article Reference
104724
ISI
000501988200181
Pubmed ID
31737763
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
MuDiLingo: A Multiscale Dislocation Language for Data-Driven Materials Science
FASS - Fatigue Simulation near Surfaces.
Understanding nanocrystalline mechanical behaviour from structural investigations.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 08.01.2020
Last edited 28.10.2024
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