The checkpoint of a fine-tuned MatterSim MLIP [https://doi.org/10.48550/arXiv.2405.04967] based on the pretrained model MatterSim-v1.0.0-5M. The potential was trained on the DFT calculations performed in Quantum Espresso. The training set consisted of the configurations including BaSnO3 and BaSn1-xYxO3 with perovskite structure. Attached files bso_bsy_2.0.extxyz - training set with positions, forces and potential energies calculated with DFT, in extended XYZ format. Contains 347 configurations. BaSnYO3_model.pth - Fine-tuned MatterSim PyTorch weights. Contents of the training set (bso_bsy_2.0.extxyz) Training set includes: pure BaSnO3 supercells (2x2x2 unit cells) with random displacement of all atoms (sigma = 0.05 angstrom) BaSnO3 supercells (2x2x2) with single oxygen vacancy, with random displacements of atoms BaSnO3 cell with varied lattice parameter (+/- 10% around equilibrium lattice parameter obtained in DFT) Ba8Sn7YO24 cells (2x2x2 BaSnO3 supercell with 1 Sn replaced with Y) with random displacement of all atoms Ba8Sn7YO24 cells with varied lattice parameter (+/- 10% around equilibrium lattice parameter obtained in DFT) Ba8Sn7YO23 cells (same as above with 1 random oxygen vacancy) with random displacement of all atoms 3x3x3 BaSnO3 supercell with 3 random Sn atoms replaced with Y atoms, and 2 random oxygen vacancies (Ba27Sn24Y3O79); the structure was initially relaxed with the MLIP, fine-tuned on all the configurations listed above The final training set contains 347 configurations. The full training set is attached. Configurations were generated with the scripts available at https://github.com/alexey-rulev/qe_to_ff Fine-tuning was performed using MatterSim training script (https://github.com/microsoft/mattersim/blob/main/src/mattersim/training/finetune_mattersim.py) at learning rate 5e-5, with inclusion of forces, without inclusion of stresses. Other parameters were kept default. Parameters of DFT calculations All DFT calculations were performed in Quantum Espresso: ecutrho = 600 ecutwfc = 80 occupations = smearing #needed smearing for correct handling of defect systems smearing = gaussian degauss = 0.01 conv_thr = 1.0e-10 Hubbard (ortho-atomic): U O-2p 7 K-points: 6 6 6 1 1 1 for 2x2x2 supercells, 4 4 4 1 1 1 for 3x3x3 supercells Core electrons were treated with projector augmented wave pseudopotentials available in the standard solid-state pseudopotentials (SSSP) library (http://materialscloud.org/sssp) DFT calculations parameters (Hubbard U) were selected to best fit the experimental vibrational data of BaSnO3 (see https://doi.org/10.3390/cryst15050440) Intended use / domain of validity Model is intended for BaSnO₃ and Y-doped BaSnO₃ perovskites with small displacements, lattice strains (±10%), oxygen vacancies, and dilute Y substitution patterns similar to the training set. Extrapolation to other chemistries, high defect concentrations, large deformations, or extreme thermodynamic conditions should be done with caution. The primary goal of this model is to simulate phonon properties of the relevant materials. Citation If you use this model, please cite: MatterSim: https://doi.org/10.48550/arXiv.2405.04967 This Zenodo record. The experimental reference for BaSnO₃ vibrational data: https://doi.org/10.3390/cryst15050440