Published December 28, 2020 | Version 1.0
Dataset Open

Supplementary material for "Song et al., Modelling Simul. Mater. Sci. Eng., 2021: Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies"

Creators

  • 1. FZ Jülich GmbH

Contributors

  • 1. TU Clausthal
  • 2. University of Miami

Description

This zip archive contains supplementary material in the form of datasets and jupyter notebooks that are used in the following publication:

  • authors: Hengxu Song, Nina Gunkelmann, Giacomo Po, and Stefan Sandfeld
  • journal: Modelling Simul. Mater. Sci. Eng.
  • year: 2021
  • title: Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies

Notes

The git repository containing the here published datasets and code together with updates and bugfixes is located at https://gitlab.com/computational-materials-science/public/publication-data-and-code/2021_Song-et-al__MSMSE__Data-mining-of-dislocation-microstructures/

Files

Files (1.7 MB)

Additional details

Funding

MuDiLingo – A Multiscale Dislocation Language for Data-Driven Materials Science 759419
European Commission