DFT dataset and qNEP models for CsGeBr3, CsSnBr3, PbTiO3
https://doi.org/10.5281/zenodo.22007823
Charge-aware machine-learned interatomic potentials and their training data for the three perovskites PbTiO3, CsGeBr3 and CsSnBr3.
Files
Two files per system, named _:
_train.xyz – training set in extended XYZ format, with reference energies, forces and virials.
_nep.txt – the NEP potential, usable directly with GPUMD or calorine.
Systems
PbTiO3 – 345 structures, 5–320 atoms per structure, reference method VASP with r2SCAN.
CsGeBr3 – 110 structures, 5–160 atoms per structure, reference method FHI-aims with r2SCAN50.
CsSnBr3 – 103 structures, 5–320 atoms per structure, reference method FHI-aims with r2SCAN50.
Potentials
All three are fourth-generation NEPs with charge support (charge_mode 1, lambda_q 0.1), three species, radial and angular cutoffs of 8 and 4 Å, trained for 300 000 generations. The two halides additionally use a ZBL repulsive term.
Go to data source
https://doi.org/10.5281/zenodo.22007823
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oai:
oai:zenodo.org:22007823
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