Estimation of surface energies of hexagonal close packed metals using computational intelligence technique
We developed SVR-based model for estimating surface energy of materials. We used the developed SVR-based model to estimate surface energy of HCP metals. Our results show excellent agreement with the experimental values. Our model outperforms existing theoretical models.
surface energy support vector regression hexagonal closed packed metals and descriptors