Fig. 2: Principle of the resistor network modelling approach.
From: Using resistor network models to predict the transport properties of solid-state battery composites
a Voxel representation of a composite with a NCM83 volume fraction of \({\varphi }_{{{\rm{NCM}}}}\) = 80 % and a LPSCl volume fraction of \({\varphi }_{{{\rm{LPSCl}}}}\) = 20 % generated with 300 x 300 x 300 voxels. b Representative false-colored SEM micrograph of a composite with \({\varphi }_{{{\rm{NCM}}}}\) = 80 % and \({\varphi }_{{{\rm{LPSCl}}}}\) = 20 %. Voxels and areas colored yellow correspond to LPSCl, whereas purple areas correspond to NCM83. c A representative voxel with its adjacent voxels, representing the resistor network structure and its nodes. d Schematic of the resulting average temperature and potential distribution along the direction of heat- and current flow in the steady state.
