An alternative approach, which addresses both issues, would be to train the MLP on-the-fly at the structuregeneration stage of CSP, so that the training sees high energy configurations and can correct for deficiencies in the force field while the landscape is being generated. This type of approach has been demonstrated for inorganic CSP where the CSP search is frequently performed at the ab initio level, and so leads to a stronger impetus to improve efficiency in this stage. Due to the large range of interactions explored in CSP of organic molecules, we expect that a similar approach would result in much larger training datasets relative to what is needed when aiming to model the lattice energy minima and their local regions.