Abstract
A novel numerical 3D-model for simulations of random networks of carbon nanotubes is presented. This new algorithm takes into account the real 3D nature of these networks, allowing a better understanding of their electrical properties. CNTs are modeled as stiff cylinder with geometrical properties derived accordingly to different distributions. In this model CNT are allowed to bend in order to adapt in a realistic fashion to the surrounding environment. The electrical behavior of the network is simulated with a SPICE program. A temperature analysis has been performed, showing a good match between the simulations and the experiments. The present approach constitutes the basic building block for the simulation of a variety of sensors on rigid and flexible substrates.