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        <identifier>oai:researchdata.se:doi-10-5281-zenodo-21863902/0</identifier>
        <datestamp>2026-08-09</datestamp>
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          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>http://purl.org/dc/dcmitype/Dataset</dc:type>
          <dc:identifier>https://doi.org/10.5281/zenodo.21863902</dc:identifier>
          <dc:title xml:lang="en">DFT dataset and NEP model for MA,Ge,Sn,I3</dc:title>
          <dc:creator>https://orcid.org/0000-0002-8463-964X</dc:creator>
          <dc:creator>https://orcid.org/0000-0001-5262-3339</dc:creator>
          <dc:creator>https://orcid.org/0000-0002-2516-6061</dc:creator>
          <dc:creator>https://orcid.org/0000-0003-3395-1104</dc:creator>
          <dc:subject xml:lang="en">Physical Sciences</dc:subject>
          <dc:subject xml:lang="sv">Fysik</dc:subject>
          <dc:description xml:lang="en">MA(Ge,Sn)I3 neuroevolution potential and DFT training data

Training data and machine-learned interatomic potential for MAGeI3, MASnI3 and their mixed compositions.

* `train.xyz` Full training set, 668 structures in extended XYZ format. Reference energies, forces, virials and Born effective charges from FHI-aims.* `nep.txt` The NEP potential, usable directly with GPUMD or calorine.* `control.in` Representative FHI-aims input for a single-point reference calculation.

Reference calculations

FHI-aims with the hybrid meta-GGA r²SCAN50 (`libxc HYB_MGGA_XC_R2SCAN50`), `intermediate` species defaults, scalar-relativistic `atomic_zora`, `sc_accuracy_rho 1e-6`.

The included k_grid is provided as an example and was generated using a k-point density parameter of 5.6, which corresponds to a reciprocal-space sampling of approximately 0.18 Å⁻¹ for the example cell. For other structures, the k_grid should be regenerated from the chosen k-point density.

NEP Potential

Fourth-generation NEP with charge support (`nep4_zbl_charge1`), six species (C, N, H, Ge, Sn, I), radial and angular cutoffs of 8 and 4 Å, a ZBL repulsive term with `use_typewise_cutoff_zbl 0.7`, and `lambda_q 0.1`.Fitted to the complete `train.xyz` for 300000 generations.Root-mean-square errors against the training data are 4.3 meV/atom for energies, 0.126 eV/Å for forces, 0.020 eV/atom for virials and 0.072 e for Born effective charges.</dc:description>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
          <dc:publisher xml:lang="en">Chalmers University of Technology</dc:publisher>
          <dc:publisher xml:lang="sv">Chalmers tekniska högskola</dc:publisher>
          <dc:date>2026-08-09T00:00:00Z</dc:date>
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