| Literature DB >> 29722956 |
Thomas Sannicolo1,2, Nicolas Charvin3, Lionel Flandin3, Silas Kraus1, Dorina T Papanastasiou1, Caroline Celle2, Jean-Pierre Simonato2, David Muñoz-Rojas1, Carmen Jiménez1, Daniel Bellet1.
Abstract
Electrical stability and homogeneity of silver nanowire (AgNW) networks are critical assets for increasing their robustness and reliability when integrated as transparent electrodes in devices. Our ability to distinguish defects, inhomogeneities, or inactive areas at the scale of the entire network is therefore a critical issue. We propose one-probe electrical mapping (1P-mapping) as a specific simple tool to study the electrical distribution in these discrete structures. 1P-mapping has allowed us to show that the tortuosity of the voltage equipotential lines of AgNW networks under bias decreases with increasing network density, leading to a better electrical homogeneity. The impact of the network fabrication technique on the electrical homogeneity of the resulting electrode has also been investigated. Then, by combining 1P-mapping with electrical resistance measurements and IR thermography, we propose a comprehensive analysis of the evolution of the electrical distribution in AgNW networks when subjected to increasing voltage stresses. We show that AgNW networks experience three distinctive stages: optimization, degradation, and breakdown. We also demonstrate that the failure dynamics of AgNW networks at high voltages occurs through a highly correlated and spatially localized mechanism. In particular the in situ formation of cracks could be clearly visualized. It consists of two steps: creation of a crack followed by propagation nearly parallel to the equipotential lines. Finally, we show that current can dynamically redistribute during failure, by following partially damaged secondary pathways through the crack.Entities:
Keywords: crack; hotspot; metallic nanowire; percolation; stability; transparent electrodes
Year: 2018 PMID: 29722956 DOI: 10.1021/acsnano.8b01242
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881