API reference#
This section describes the various workchains, calculations, parsers, and data types provided by the AiiDA-TrainsPot module for training and evaluating interatomic potentials.
- Workchains
- Main TrainsPot WorkChain
- Dataset Augmentation WorkChain
- Ab Initio Labelling WorkChain
- Training WorkChain
- Exploration WorkChain
- MACE Training WorkChain
TrainsPotWorkChainTrainsPotWorkChain.ab_initio_labelling()TrainsPotWorkChain.dataset_augmentation()TrainsPotWorkChain.define()TrainsPotWorkChain.exploration()TrainsPotWorkChain.exploration_frame_extraction()TrainsPotWorkChain.finalize_dataset_augmentation()TrainsPotWorkChain.get_builder()TrainsPotWorkChain.initialization()TrainsPotWorkChain.training()TrainsPotWorkChain.validate_inputs()
DatasetAugmentationWorkChainAbInitioLabellingWorkChainTrainingWorkChainExplorationWorkChainMaceTrainWorkChain
- Main TrainsPot WorkChain
- Calculations
- Parsers
- Data Types
PESDataPESData.get_ase_item()PESData.get_ase_list()PESData.get_atomic_numbers()PESData.get_atomic_species()PESData.get_e0s()PESData.get_item()PESData.get_labelled()PESData.get_list()PESData.get_unlabelled()PESData.get_xyz()PESData.iter_ase()PESData.iter_items()PESData.len_labelledPESData.len_unlabelledPESData.set_ase()PESData.set_list()
- Scripts