2014
DOI: 10.1016/j.physleta.2013.12.042
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Sulfur dioxide molecule sensors based on zigzag graphene nanoribbons with and without Cr dopant

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Cited by 39 publications
(15 citation statements)
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“…Since the advent of nanotechnology, numerous studies have been focused on the graphene, nanoclusters, nanotubes nanocapsules nanocones, nanoribbons, etc. as chemical sensors because of their great surface/volume ratio, high sensitivity, fast response time, and reusability [11][12][13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Since the advent of nanotechnology, numerous studies have been focused on the graphene, nanoclusters, nanotubes nanocapsules nanocones, nanoribbons, etc. as chemical sensors because of their great surface/volume ratio, high sensitivity, fast response time, and reusability [11][12][13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Carbon-based materials, such as nanotubes and graphene, are widely accepted as a good sensor to monitor small gas molecules, such as CO, NO, NO 2 , and NH 3 molecules [1][2][3][4][5][6][7][8][9]. In particular, the detection of the CO molecule to prevent poisoning is of vital importance, due to the fact that CO is colorless, tasteless, and odorless, but toxic and flammable.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the new gas sensor exhibited reliable and repeatable sensing behaviors even at a low concentration of 30 ppm for hydrogen (H 2 ). [ 179 ] In addition, it was proved theoretically that GNR FETs can be applied to detect a series of gases such as O 2 , [ 180 ] CO, [181][182][183][184] CO 2 , [ 181,183 ] NO, [ 181 ] NO 2 , [ 185 ] NH 3 , [ 181,182 ] N 2 , [ 182 ] SO 2 [ 186,187 ] and H 2 S. [ 187 ] The sensing mechanisms of some gas sensors are attributed to the armchair edge [ 181,183,185 ] or the zigzag edge [ 182,186,187 ] of GNRs. In particular, it was suggested that ZGNRs decorated with the titanium and tin atoms could be used in the detection of H 2 S and SO 2 .…”
Section: Gas Sensorsmentioning
confidence: 99%