Supporting information: "Spin-polarization and resonant states in electronic conduction through a correlated magnetic layer"
<p>The supporting information contains the computational details and numerical data for the article. The<br> directory ‘scripts’ of the supplementary material contains the Python code used to create Figures 2–6.<br> The code can be used to exactly reproduce the figures.</p> <p><br> Figures 5 and 6 show interacting data, which requires a computationally involved self-consistent dynamical mean-field theory (DMFT) calculation. The results of this calculation are in the directory ‘DMFT_data’,<br> the subdirectories are named according to the parameters, where ‘tl’ is $t_L$, ‘tc’ is $t_{01}$, and ‘U’ is $U_{0}$.<br> The data is saved as HDF5 files. They can be opened conveniently using Python using the method<br> ‘open_dataset’ given in ‘scripts/dataio.py’.</p> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0