where i designates a specific carbon (e.g. HTC-600 or ACS-PC), Δδ(i) and Qion(i) are the Δδ and ion adsorption capacity measured for this specific carbon, and A0, A1 and A2 are fitting parameters. A strong agreement was observed between the predicted and measured capacitances (Figure ). Similar results were observed using the NMR-derived ordered area and ion adsorption capacity (Figure ). It is worth noting that the Δδ value can be directly extracted from NMR spectra whereas the NMR derived ordered area requires further simulations, making it less accessible to a wider range of researchers. We emphasise that the carbons in this study are predominantly microporous conductive carbons with most pores below 2 nm (Figure and Figure ). For non-porous carbons and/or meso/microporous carbons, the Δδ values would be very small or negligible, and the Δδ values would no longer correspond as straightforwardly to graphenelike domain sizes. Overall we find that NMR is a powerful tool to screen and predict the capacitances of predominantly microporous carbons.