Ab inition calculations of bound states of a apositron with atoms ans molecules are very difficult and expensive.
Machine-learning techniques permit to unveil the physics of the bonding in terms of properties of the targets, by handle existing data of binding energies.
As output, new predictions and insights come out, as the fundamental role of the ionization potential of the target.