Towards A Transferable Acceleration Method for Density Functional Theory

Zhe Liu, Yuyan Ni, Zhichen Pu +3

Recently, sophisticated deep learning-based approaches have been developed for generating efficient initial guesses to accelerate the convergence of density functional theory (DFT)…