Unlocking Predictability for Ultra-Small Sensors (IMAGE)
Caption
NYU researchers discovered how to predict the sensitivity of graphene electrodes -- potentially paving the way to industrial-scale production of the ultra-small sensors: The density of intentionally introduced point defects is directly proportional to the sensitivity of the graphene electrode. If the density of these points is maximized, an electrode can be created that's up to 20 times more sensitive than conventional electrodes.
Credit
NYU Tandon School of Engineering
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For editorial use only, when illustrating research of Davood Shahrjerdi and Roozbeh Kiani.
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