Publication date: Jul 04, 2024
Using high-throughput automation of ab-initio impurity-embedding simulations we created a database of 3d and 4d transition metal defects embedded into the prototypical topological insulator (TI) Bi₂Te₃. We simulate both single impurities as well as impurity dimers at different impurity-impurity distances inside the topological insulator matrix. We extract changes to magnetic moments, analyze the polarizability of non-magnetic impurity atoms via nearby magnetic impurity atoms and calculate the exchange coupling constants for a Heisenberg Hamiltonian. We uncover chemical trends in the exchange coupling constants and discuss the impurities' potential with respect to magnetic order in the fields of quantum anomalous Hall insulators. In particular, we predict that co-doping of different magnetic dopants is a viable strategy to engineer the magnetic ground state in magnetic TIs.
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File name | Size | Description |
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README.md
MD5md5:4491939c4dceebd0f92f4c700bd4e5cb
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6.1 KiB | Description of the dataset |
Jij_table.csv
MD5md5:e73c49c9da7b0653f2de3e0e4466eaa4
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412.7 KiB | Extracted table of Jij values |
data_analysis.ipynb
MD5md5:fd52fd211f68ab207f929b570476c29c
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1.3 MiB | Jupyter notebook containing data analysis and plotting of the results of this work |
export_all.aiida
MD5md5:a0420830661cdf8aad769abb5a179766
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43.0 GiB | AiiDA export file containing all calculations of this dataset |
Bi2Te3.cif
MD5md5:f714130613532a4063571c361bc6dc46
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1.5 KiB | Basic host crystal structure of Bi2Te3 |
Bi2Te3_structure_low_res.png
MD5md5:6809195c59d44c3ad0fe1f41e7b0df7f
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103.6 KiB | Visualization of the host crystal structure |
requirements.txt
MD5md5:dc508fbf3e879913a4f482ec2b6d658f
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6.6 KiB | Python environment used in data creation and analysis |
2024.141 (version v2) | Sep 23, 2024 | DOI10.24435/materialscloud:b7-6k |
2024.103 (version v1) [This version] | Jul 04, 2024 | DOI10.24435/materialscloud:c9-9x |