Stable and transferable exchange-correlation potentials via machine-learned density-independent mapping.
We present a machine-learning framework, density-independent mapping for exchange-correlation, for incorporating XC effects into density functional theory via a density-independent mapping from the external potential to the XC potential. By predicting the ground-state XC potential in a one-shot manner and holding it fi...