Resistivity Saturation in Kondo Insulators
<p> </p> <p>Data and codes associated with <br> <strong> Resistivity saturation in Kondo insulators</strong><br> M. Pickem, E. Maggio, J. M. Tomczak <br> <a href="https://doi.org/10.1038/s42005-021-00723-z">Communications Physics 4, 226 (2021)</a><br> (preprint arXiv:2008.05846)</p> <p>When using the provided data, please cite the Zenodo DOI 10.5281/zenodo.4355597 as well as the article.</p> <p>Available are</p> <ul> <li>density functional theory + dynamical mean-field theory (DFT+DMFT) data for Ce<sub>3</sub>Bi<sub>4</sub>Pt<sub>3</sub>.<br> Data is generated using <ul> <li>WIEN2k 18.2 (http://susi.theochem.tuwien.ac.at/)</li> <li>DFT + embedded DMFT Functional (http://hauleweb.rutgers.edu/tutorials/)</li> </ul> </li> <li>electrical conductivity data. <br> Data is obtained using <ul> <li>LinReTraCe: the Linear Response Transport Centre.<br> This code will be released at http://github.com/linretrace/linretrace in 2021.</li> </ul> </li> <li>python tool for analysis of experimental measurements using the new formalism.<br> The python tool is available and described at https://github.com/linretrace/quantum_conductivity_fit</li> </ul> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4