Garnica Barragan, Sergio A. and Knaust, Marius and Fatikow, Sergej (2019) Automatic Micro-Robotic Identification and Electrical Characterization of Graphene. Micromachines, 10 (12). p. 870. ISSN 2072-666X

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Micromechanically exfoliating graphene on Si / SiO2 substrates is commonplace for graphene researchers, but locating actual graphene flakes on these substrates is a high-effort and tiresome task. The main purpose of this work was to establish a completely automated procedure to identify those graphene flakes with as little human interaction as possible, improving on the limitations of current methods. Furthermore, automatic electrical characterization of the identified flakes was performed. The proposed micro-robotic automation sequence consists of three main steps. To start, a sample surface plane is calculated, based on multiple foci points across the substrate. Secondly, flakes on the substrate are identified in the hue, saturation, and value (HSV) color space, with an implementation to fit the measurement probe, used to avoid undersized samples and adjust the flake orientation. Finally, electrical characterization is performed based on four point probe measurements with the Van der Pauw method. Results of the successfully implemented automation sequence are presented together with flake electrical properties and validation.

Item Type: Article
Additional Information: Publiziert mit Hilfe des DFG-geförderten Open Access-Publikationsfonds der Carl von Ossietzky Universität Oldenburg.
Uncontrolled Keywords: microrobotics, graphene identification, graphene characterization, micro four point probe
Subjects: Generalities, computers, information > Computer science, internet
Divisions: School of Computing Science, Business Administration, Economics and Law > Department of Computing Science
Date Deposited: 20 Mar 2020 08:49
Last Modified: 26 Mar 2020 12:01
URN: urn:nbn:de:gbv:715-oops-46115
DOI: 10.3390/mi10120870

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