Fig. 2: Microscopic analysis of nanoparticles and networks.
From: Understanding how junction resistances impact the conduction mechanism in nano-networks

a Mean length of silver nanowires (AgNWs) size-selected by sonication-induced scission as a function of sonication time. The uncertainty in lNW is ±standard error (SE) in the mean (n = 100–200). b Mean nanosheet length, lNS, of centrifuge-fractionated silver nanosheets (AgNSs), graphene, WS2 and WSe2 nanosheets, plotted versus centrifugation speed. The uncertainty in lNS is ±SE in the mean for the AgNSs (n = 135−251), graphene (n = 210−270), WS2 (n = 226−443) and WSe2 (n = 89−227). c Average nanosheet aspect ratio, kNS, across all size-selected fractions for each 2D material. Inset: Exemplary data showing linear scaling between nanosheet length and thickness, tNS, over five size-selected fractions of LPE graphene, consistent with an aspect ratio of kNS ≈ 30 (See Supplementary Note 2 for all data). The uncertainty in kNS is ±the root sum of squares (RSS) of SE in the mean for lNS and tNS (n = 89–443). d Surface SEM image of a spray-cast network of AgNWs. Representative surface SEM images of spray-cast networks of (e) AgNSs, (f) graphene, (g) WSe2 and (h) WS2 nanosheets.