Machine learning-based interatomic potentials enable accurate materials simulations on extended time- and length scales. ML potentials based on the atomic cluster expansion (ACE) framework have ...

With the recent upsurge in the use of deep learning and other computationally expensive machine learning models, hyperparameter optimization has become a quite important and widely researched area of ...