2013 Transducers &Amp; Eurosensors XXVII: The 17th International Conference on Solid-State Sensors, Actuators and Microsystems 2013
DOI: 10.1109/transducers.2013.6626834
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A transconductive graphene pressure sensor

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Cited by 16 publications
(11 citation statements)
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“…If higher accuracy is required, then higher order polynomials can be considered [44]. However, in our case, 3rd order polynomial regression model (6) gives acceptable range of accuracy and a best fit to the experimental data ( Figure 9) as shown in Figure 11. (Figure 9) and simulation (7) for CNT-graphene composite sample.…”
Section: Experimental Versus Simulationmentioning
confidence: 87%
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“…If higher accuracy is required, then higher order polynomials can be considered [44]. However, in our case, 3rd order polynomial regression model (6) gives acceptable range of accuracy and a best fit to the experimental data ( Figure 9) as shown in Figure 11. (Figure 9) and simulation (7) for CNT-graphene composite sample.…”
Section: Experimental Versus Simulationmentioning
confidence: 87%
“…The tensile strength and elasticity of carbon nanotubes (CNTs) are hundred and five times higher than steel, respectively [4]. On the other hand, graphene can withstand with a strain up to 20% and its Young's modulus is almost six hundred and thousand times higher than semiconductors and metals, respectively [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…The density of MWCNT is about 25–30% of steel, while its tensile strength and elasticity are 100 and 5 times greater than steel, respectively [ 4 , 5 ]. On the other hand, the Young’s Modulus of graphene is 1000 and 600 times larger than metals and semiconductors, respectively [ 6 , 7 ]. Graphene and MWCNTs are optimal nanostructured materials for pressure-sensing technology, due to their best structural properties, low density, high gauge factor, and a wide range of applications in many fields [ 8 , 9 ].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, the pressure sensors based on graphene material are widely researched because they have many advantages such as higher sensitivity, better linearity, and smaller dimensions [5]. In 2012, Smith et al proposed a graphene‐based pressure sensor to induce strain by creating a pressure difference between the inside and the outside of a cavity [6].…”
Section: Introductionmentioning
confidence: 99%