2018
Multiaxial and Transparent Strain Sensors Based on Synergetically Reinforced and Orthogonally Cracked Hetero‐Nanocrystal Solids
Abstract: Wearable strain sensors are widely researched as core components in electronic skin. However, their limited capability of detecting only a single axial strain, and their low sensitivity, stability, opacity, and high production costs hinder their use in advanced applications. Herein, multiaxially highly sensitive, optically transparent, chemically stable, and solution‐processed strain sensors are demonstrated. Transparent indium tin oxide and zinc oxide nanocrystals serve as metallic and insulating components i…
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Cited by 57 publications
(32 citation statements)
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“…From the model presented, we can now understand on a fundamental level not only what causes conditioning in nanocomposite strain sensors but also why some materials, though not presenting any obvious signs of materials degradation, never report a steady signal. However, it can also be said that there are several examples of nanocomposites reporting little to no discernible tread in (R/R0)R,C with C. From this work, this can also now be attributed to their superior mechanical hysteresis as a result of fibre formation, [63][64][65][66] use of lament layers [63][64][65][66] and micro-structuring [67][68][69][70] which appears to quench effects of stress softening on electromechanical response. However, these morphologies, in particular the fibres, generally have larger values for Young's modulus which has been noted by the author in prior work as being a vital parameter of nanocomposites that must be minimised to facilitate applications as bodily sensors.…”
Section: Retrospective Impactmentioning
confidence: 63%
“…From the model presented, we can now understand on a fundamental level not only what causes conditioning in nanocomposite strain sensors but also why some materials, though not presenting any obvious signs of materials degradation, never report a steady signal. However, it can also be said that there are several examples of nanocomposites reporting little to no discernible tread in (R/R0)R,C with C. From this work, this can also now be attributed to their superior mechanical hysteresis as a result of fibre formation, [63][64][65][66] use of lament layers [63][64][65][66] and micro-structuring [67][68][69][70] which appears to quench effects of stress softening on electromechanical response. However, these morphologies, in particular the fibres, generally have larger values for Young's modulus which has been noted by the author in prior work as being a vital parameter of nanocomposites that must be minimised to facilitate applications as bodily sensors.…”
Section: Retrospective Impactmentioning
confidence: 63%
“…Our best gauge factors (∼350) also compare favorably to polymer-based nanocomposite sensors. A 2019 study of 200 nanocomposite strain sensors ranked the reported G -values, which ranged from 0.01 to 2600 . Our best sensors would rank fifth on this scale.…”
Section: Resultsmentioning
confidence: 78%
“…A 2019 study of 200 nanocomposite strain sensors 12 ranked the reported G-values, which ranged from 0.01 to 2600. 22 Our best sensors would rank fifth on this scale. While nanosheet networks and nanocomposite films are cheap and easy to prepare, more sophisticated methods have been used to make the highest sensitivity published sensors.…”
Section: T H I S C O N T E N T Imentioning
confidence: 66%
“…It can be inferred from these results that the AgNW strain sensor with a narrower straight line is more sensitive with a strain range tunable by the length. The strain sensor possesses the highest GF (10,486) among the previously reported transparent strain sensors in a relatively large strain range (8%) at high transparency (∼90%). ,,,,,,− Indeed, the GF is still predominant among other opaque strain sensors (Table S2), ,,,,,− as illustrated in Figure h. Actually, the GF of the strain sensor can be further increased by increasing the concentration of TEH in the composite due to the brittleness of TEH (Figure S6b).…”
Section: Resultsmentioning
confidence: 80%
