Machine Learning-Accelerated Prediction of Surface Energy in van der Waals Crystals.
This study developed an efficient framework integrating density functional theory with machine learning methods to predict surface energies in vdW crystals, by combining structural characteristics with elemental properties and found that the generative adversarial network achieved the best performance.