Two approaches have been followed to validate the results achieved by VOLTA. First, the software was ran to identify the virtual cells yielding the highest energy: VOLTA outputs well-known, commercial AMs, henceis capable of identifying some of the best battery materials. Moreover, the frequency of appearance of some commercial AMs was analysed as to seek whether they would appear more often when considering virtual cells with increasing energy density. Li 0-1 CoO 2 (LCO), Li 0-1 NiO 2 (LNO) and Li 0-1 FePO 4 (LFP) (whose respective battery IDs within MP are: mp-22526_Li, mp-25210_Li, mp-19017_Li ) were identified as suitable AMs to keep track of, being well known, commercially available positive electrode active materials (PEAMs).