nanocomposites Differences in nanocomposites morphology may have a significant impact on the electrical conductivity and mechanical properties. The highly ordered 3D RGO@CNC network structure undoubtedly can make a great contribution to the enhancement of materials properties. Fig. 5 shows the conductivity variation of the RGO@CNC/NR nanocomposites as a function of RGO volume frac-tion. The CNC mediated RGO nanocomposites show a much lower electrical conductivity percolation threshold and higher electrical conductivity values than that of the RGO/NR nanocomposites with-out CNC. The critical amount of conductive filler required to cause the insulator-to-conductor transition is known as the percolation threshold. The percolation threshold of RGO@CNC/NR nanocom-posites is only 0.66 vol%, much lower than that of the RGO/NR nanocomposites without a RGO network (1.17 vol%). Moreover, the conductivity of RGO@CNC/NR nanocomposites with a RGO load-ing of 0.83 vol% is 3.98 × 10−4S/m, which is more than 10 ordersof magnitude higher than that of the RGO/NR nanocomposites(8.84 × 10−15S/m) at the same loading (Potschke, Andres, Villmow,& Pegel, 2010).