Dataset for "Machine learning interatomic potentials for NaPSO glasses: the critical role of training data"

Training (and test) dataset and machine learning potential model in ASE and LAMMPS format for the FT-MP0 model published in: Bertani M., Pedone A. "Machine learning interatomic potentials for NaPSO glasses: the critical role of training data" Solid State Sciences 2026训练（及测试）数据集与机器学习原子间势模型为已发表的FT-MP0模型配套资源，上述内容采用ASE（Atomic Simulation Environment）与LAMMPS（Large-scale Atomic/Molecular Massively Parallel Simulator）格式存储，该模型的发表信息如下： Bertani M.与Pedone A.：《用于NaPSO玻璃的机器学习原子间势：训练数据的关键作用》，《固体科学（Solid State Sciences）》2026年