Next, we identify both the 1,000 materials with the highest effect mass standard deviation for n-type doping and 1,000 of the highest for p-type doping. For these 2,000 materials we automatically create slab simulations and calculate exfoliation energies for each. We do this for two levels of DFT: PBE and PBE with van der Waals corrections (PBE+vdW); meaning a total of four thousand data points. These are plotted as four separate panels in Figure by taking the logarithm of the exfoliation energy against a truncated standard deviation of conductivity effective mass. Figure and 5b show the results obtained for n-type materials at the PBE and PBE+vdW functional levels, respectively. And Figure and are the results obtained for p-type materials at the PBE and PBE+vdW functional levels, respectively. Detailed information on the structure of these materials and related information, as well as the structures that did not converge during the calculations, can be found in the supplementary materials (see Figures ).