Direct Imaging of the Onset of Electrical Conduction in Silver Nanowire Networks by Infrared Thermography: Evidence of Geometrical Quantized Percolation

Advancement in the science and technology of random metallic nanowire (MNW) networks is crucial for their appropriate integration in many applications, including transparent electrodes for optoelectronics and transparent film heaters. We have recently highlighted the discontinuous activation of efficient percolating pathways (EPPs) for networks having densities slightly above the percolation threshold. Such networks exhibit abrupt drops of electrical resistance when thermal or electrical annealing is performed, giving rise to a “geometrically quantized percolation”. In this letter, Lock-in Thermography (LiT) is used to provide visual evidence of geometrical quantized percolation: when low voltage is applied to the network, individual “illuminated pathways” can be detected and new branches get highlighted as the voltage is incrementally increased. This experimental approach has allowed us to validate our original model and map the electrical and thermal distributions in silver nanowire (AgNW) networks. We also study the effects of electrode morphology and wire dimensions on quantized percolation. Furthermore we demonstrate that the network failure at high temperature can also be governed by a quantized increase of the electrical resistance, corresponding to the discontinuous destruction of individual pathways (anti-percolation). More generally, we demonstrate that LiT is as a promising tool for the detection of conductive sub-clusters, as well as hot spots in AgNW networks.