A similar analysis can be conducted by ordering the virtual cells by desirability, as defined in equation 6 in Section 3. The cell's performance (defined here as cell energy), the cell's sustainability score and its stability metric were weighted equally (p = 1, c = 1, sm = 1). The frequency of appearance of the commercial PEAMs is plotted in Figure (c). The overall picture seems different from Figure (a), diplaying a clear reduction in overall frequency of LCO and in the frequency peak at the top percentiles. On the other hand, LFP and LNO seem to grow dramatically in frequency upon considering higher desirability cells. It is difficult to deconvolute the contributions of the three components directly, but the main observation is that LCO is penalised in terms of CESI score. Its normalised CESI score is 0.32, while LNO and LFP score respectively 0.61 and 0.75. The materials have all SD = 0, as at least one of their end-member phases have been observed, and their relative performances have been discussed above. The frequency of LCO is greatly reduced, and the peak relative to the top 1% cells only reaches 0.1%, half of the value reached when considering only performance. This results in a reduction in desirability of Co-containing LCO, despite its good performance, in accordance with the current trend of Co-removal from PEAMs. LNO displays a growth trend right away, that reaches a slightly lower value than in the previous analysis (slightly more than 0.2% vs 0.25%). This can be interpreted as a slight devaluation of LNO when sustainability is introduced in the analysis. LFP, on the other hand, undergoes a severe change in frequency behaviour: from a relatively undersirable compound in the pure-performance analysis, it is promoted to very high frequencies, comparable in behaviour to LNO. These observations are in line with the difference in sustainability between iron and elements such as nickel and cobalt. This demonstrates that VOLTA can also be applied to battery screening problems not only limited to the maximisation of the virtual cells performance, making it a rather flexible algorithm.