作者: Mehran Tehrani , Thusitha Nanda Bandara Etampawala , Mark Dadmun , Mohammad Abir Hossain , None
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摘要: Resolving hierarchical structures in carbon nanotube (CNT) composites is crucial for their performance optimization. We report here that self-consistent analyses of small- and ultra-small-angle neutron scattering (SANS USANS, respectively) patterns can be used to extract both the size morphology networks. In particular, this study investigates correlation structure electrical conductivity CNT-PEDOT:PSS (poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)) composite films where distinguishable dispersion states nanotubes PEDOT:PSS matrix were achieved by varying CNT concentration, duration sonication, addition ethylene glycol (EG) pre-deposition solutions. It was concluded five levels structure, spanning a few nanometers tens microns, exist all samples. The results suggest strong variation nanocomposites at larger length scales and, lesser e...