We show that in commercial quality battery electrode films there is not only expected variation on a micrometer scale, but that measured conductivity variation can occur on the order of millimeters. A modified micro-N-line probe  was installed in a high-resolution stage for taking local measurements of conductivity. Electrical conductivity of battery films was then mapped.
A key advance in this work is the correlation of local conductivities with the local microstructure. ”Hot”, ”average” and ”cold” conductivity spots were investigated by scanning electron microscopy (SEM) with focused ion beam (FIB) milling in order to produce planar cross sections. The SEM/FIB images were then segmented into 3 major domains: carbon-binder, active material, and large pores. We see a strong correlation between conductivity and both porosity and carbon volume fraction, consistent with macroscopic trends observed in our previous research .
This research is supported by the US Department of Energy through the Advanced Battery Material Research (BMR) Program.
 B. J. Lanterman, A. A. Riet, N. S. Gates, J. D. Flygare, A. D. Cutler, J. E. Vogel, D. R. Wheeler, and B. A. Mazzeo, “Micro-four-line probe to measure electronic conductivity and contact resistance of thin-film battery electrodes,” Journal of the ELectrochemical Society, vol. 162, no. 10, A2145–A2151, 2015.
 M. M. Forouzan, C.-W. Chao, D. Bustamante, B. A. Mazzeo, and D. R. Wheeler, “Experiment and simulation of the fabrication process of lithiumion battery cathodes for determining microstructure and mechanical properties,” Journal of Power Sources, vol. 312, pp. 172–183, 2016.
 S. W. Peterson and D. R. Wheeler, “Direct measurements of effective electronic transport in porous li-ion electrodes,” Journal of the Electrochemical Society, vol. 161, no. 14, A2175 –A2181, 2014.
Figure 1: (a) Shows a local map of resistivity taken on an NMC TODA 523 cathode with locations A, B, and C marked where further investigation was carried out. (b) Shows FIB/SEM investigation of point B. (c) Shows segmentation of the FIB/SEM image into 3 domains: carbon-binder (grey), active material (white), and large pores (black). (d) Shows volume fractions taken over a large range of samples for high-conductivity, average-conductivity and low-conductivity locations.