Automatic Micro-Robotic Identification and Electrical Characterization of Graphene

Area of Science:

• Materials Science
• Nanotechnology
• Robotics

Background:

• Locating graphene flakes on silicon/silicon dioxide substrates is a labor-intensive process for researchers.
• Current methods for identifying graphene flakes are limited and require significant human intervention.

Purpose of the Study:

• To develop a fully automated procedure for identifying graphene flakes on substrates with minimal human interaction.
• To implement automatic electrical characterization of identified graphene flakes.

Main Methods:

• A micro-robotic system was employed, involving sample surface plane calculation using multiple focus points.
• Graphene flake identification was performed in the hue, saturation, and value (HSV) color space.
• Automated electrical characterization utilized four-point probe measurements with the Van der Pauw method.

Main Results:

• A successful automated sequence for graphene flake identification and characterization was implemented.
• The system demonstrated the ability to avoid undersized samples and adjust measurement probe orientation.
• Electrical properties of identified graphene flakes were successfully measured and validated.

Conclusions:

• The developed automated micro-robotic system significantly improves the efficiency of graphene flake research.
• This automation reduces human effort and enhances the accuracy of flake identification and electrical characterization.
• The findings pave the way for more streamlined and high-throughput graphene research and development.