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Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni micropillars

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 g...

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Detalles Bibliográficos
Autores principales: Sandfeld, Stefan, Samaee, Vahid, Idrissi, Hosni, Groten, Jonas, Pardoen, Thomas, Schwaiger, Ruth, Schryvers, Dominique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849128/
https://www.ncbi.nlm.nih.gov/pubmed/31737763
http://dx.doi.org/10.1016/j.dib.2019.104724
Descripción
Sumario: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.