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Automatic Micro-Robotic Identification and Electrical Characterization of Graphene

Micromechanically exfoliating graphene on [Formula: see text] / [Formula: see text] 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 pr...

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Detalles Bibliográficos
Autores principales: Garnica B., Sergio A., Knaust, Marius, Fatikow, Sergej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952813/
https://www.ncbi.nlm.nih.gov/pubmed/31835719
http://dx.doi.org/10.3390/mi10120870
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author Garnica B., Sergio A.
Knaust, Marius
Fatikow, Sergej
author_facet Garnica B., Sergio A.
Knaust, Marius
Fatikow, Sergej
author_sort Garnica B., Sergio A.
collection PubMed
description Micromechanically exfoliating graphene on [Formula: see text] / [Formula: see text] 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.
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spelling pubmed-69528132020-01-23 Automatic Micro-Robotic Identification and Electrical Characterization of Graphene Garnica B., Sergio A. Knaust, Marius Fatikow, Sergej Micromachines (Basel) Article Micromechanically exfoliating graphene on [Formula: see text] / [Formula: see text] 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. MDPI 2019-12-11 /pmc/articles/PMC6952813/ /pubmed/31835719 http://dx.doi.org/10.3390/mi10120870 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Garnica B., Sergio A.
Knaust, Marius
Fatikow, Sergej
Automatic Micro-Robotic Identification and Electrical Characterization of Graphene
title Automatic Micro-Robotic Identification and Electrical Characterization of Graphene
title_full Automatic Micro-Robotic Identification and Electrical Characterization of Graphene
title_fullStr Automatic Micro-Robotic Identification and Electrical Characterization of Graphene
title_full_unstemmed Automatic Micro-Robotic Identification and Electrical Characterization of Graphene
title_short Automatic Micro-Robotic Identification and Electrical Characterization of Graphene
title_sort automatic micro-robotic identification and electrical characterization of graphene
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952813/
https://www.ncbi.nlm.nih.gov/pubmed/31835719
http://dx.doi.org/10.3390/mi10120870
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