shell structure and varies between ∼-0.4 and ∼0.2 (for CO and benzene it varies between ∼-0.2 and ∼0.2). These data are ideally suited for machine learning of the exchange part of MRF since a large amount of data can be generated from a small set of molecules since every grid point can be used as a datapoint in the training. In addition to these rm-MRF data for exchange, the simple UEG (Eq. 35) and scaling relation (Eq. 20) for MRF exchange can be also incorporated into the machine-learned MRF exchange models and we will further explore this direction in future work.