1. Considering the geometry dependence of charges and polarizabilities, it is natural to use ML models to predict these parameters, and feed them into polarizable force field to compute the electrostatic energies. 2. Similarly, one can use ML models to predict electronegativities and hardness, then use them in charge equilibration models. Similar methods can also be utilized to perform constant potential simulations for electrodes.