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data-efficient and fast machine learning molecular dynamics through integrate...
<p>This entry provides the training and test datasets, final datasets, trained models, and simulation results associated with four machine learning interatomic potentials... -
Resolving the solvation structure and transport properties of aqueous zinc el...
This database contains the neural network potential (NNP) model and training data for aqueous ZnCl₂ solutions from 1 m to 30 m. The NNP model can be used to compute total... -
A NN-Potential for phase transformations in Ge
In a recent preprint, entitled: "Development of a machine learning interatomic potential for exploring pressure-dependent kinetics of phase transitions in Germanium", we...
