Discrete and Process Automation

Autonomous Robot Assembles 2D Crystals

24 April 2018

Van der Waals heterostructures, which are assemblies of atomically thin 2D crystalline materials that display attractive conduction properties for use in advanced electronic devices, are of interest in nanotechnology. Their development has been restricted by the complicated and time-consuming manual operations required to produce them. The 2D crystals typically obtained by exfoliation of a bulk material must be manually identified, Computer-assisted design schematic of the robotic system. Source: University of TokyoComputer-assisted design schematic of the robotic system. Source: University of Tokyocollected and stacked by a researcher to form a van der Waals heterostructure. This manual workflow is not suited for industrial production of electronic devices containing van der Waals heterostructures

Researchers from Japan’s National Institute for Materials Science and the University of Tokyo has solved this issue by developing an automated robot to greatly speed up the collection of 2D crystals and their assembly to form van der Waals heterostructures. An automated high-speed optical microscope detects crystals, the positions and parameters of which are then recorded in a computer database. Customized software is used to design heterostructures using the information in the database. The heterostructure is then assembled layer-by-layer by robotic equipment directed by the designed computer algorithm.

According to the researchers, the robot can detect 400 graphene flakes an hour, which is much faster than the rate achieved by manual operations.

When used to assemble graphene flakes into van der Waals heterostructures, the robot could stack up to four layers an hour with just a few minutes of human input required for each layer. It produced a van der Waals heterostructure consisting of 29 alternating layers of graphene and hexagonal boron nitride, another common 2D semiconductor. The record layer number of a van der Waals heterostructure produced by manual operations is 13, so the robot has greatly increased the ability to access complex van der Waals heterostructures.

The research is reported in Nature Communications.

To contact the author of this article, email shimmelstein@globalspec.com

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