2009
DOI: 10.1016/j.snb.2009.03.065
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Percolating SnO2 nanowire network as a stable gas sensor: Direct comparison of long-term performance versus SnO2 nanoparticle films

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Cited by 145 publications
(87 citation statements)
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“…Among these architectures, network structures can function as both devices and interconnections, and thus are expected to play a key role in the production of next generation of nanoscale electronic and optoelectronic devices [4][5][6]. Moreover, the networks usually show some novel and interesting properties superior to those of simple nanostructures.…”
Section: Introductionmentioning
confidence: 99%
“…Among these architectures, network structures can function as both devices and interconnections, and thus are expected to play a key role in the production of next generation of nanoscale electronic and optoelectronic devices [4][5][6]. Moreover, the networks usually show some novel and interesting properties superior to those of simple nanostructures.…”
Section: Introductionmentioning
confidence: 99%
“…5(b)). The thermal stability of the NTHH sensor is excellent, which is superior to that of gas sensors based on 3-dimensional mesoporous nanoparticle film and comparable to that of gas sensors based on 2-dimensional nanowire network [26]. The dispersion is lower than 10% which is quite acceptable taking into account the signal ripple of our system (∼10%) as seen in Fig.…”
Section: Resultsmentioning
confidence: 73%
“…In addition, 1-D semiconductor nanostructures like NWs with their typical high aspect ratio, that is, a length-to-diameter ratio of 20 or larger, have been seen as favorable candidates for future sensors [18]. Their extremely high surface-to-volume ratios and single-crystalline characteristics make them have great potential for use as highly sensitive gas sensors [19][20][21][22][23]. Sensors based on semiconductor nanowires have particularly attracted much attention due to their great miniaturization potential and quick diffusion of gas molecules, consequently leading to faster response and recovery times [24].…”
Section: Introductionmentioning
confidence: 99%