File:Fig5 Sbailò npjCompMat22 8.png
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Summary
Description |
Figure 5. Interactive map of tetradymite materials, as produced with the AI Toolkit's Visualizer. The topological (trivial) insulator training points are marked in red (blue). All materials falling in the convex hulls delimited by the dashed line enveloping the red (blue) points are predicted to be topological (trivial) insulators. The axes, D1 and D2, are the components of the descriptor identified by SISSO, in terms of analytical function of the selected input parameters. |
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Source |
Sbailò, Luigi; Fekete, Ádám; Ghiringhelli, Luca M.; Scheffler, Matthias (2023). "The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding". npj Computational Materials 8: 250. doi:10.1038/s41524-022-00935-z. |
Date |
2023 |
Author |
Sbailò, Luigi; Fekete, Ádám; Ghiringhelli, Luca M.; Scheffler, Matthias |
Permission (Reusing this file) |
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Licensing
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This work is licensed under the Creative Commons Attribution 4.0 License. |
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current | 21:16, 20 November 2023 | 950 × 450 (212 KB) | Shawndouglas (talk | contribs) |
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