Open-source software for automated searching and assembly for van der Waals heterostructures

Note that this webpage is currently under development.

Open-source platform for aunotnomous robotic searching and assembly of van der Waals heterostructures. The softwre is dedicated to minimize the human intervention involved in fabrication of van der Waals heterostructures. Using the software in combination with the hardware provides the following functionalities:

• Automated searching for atomically thin exfoliated 2D crystals on SiO2/Si substrate
• Building the database of opitcal microscope images of detected 2D crystals
• Computer assisted design of van der Waals heterostructures by selecting the 2D crystals from the database
• Semi-automated assembly of designed van der Waals heterostructures

• The software is licenced under BSD-3-Clause License

The following software components are required.

• Ubuntu 14.04 - ROS Indigo or Ubuntu 16.04 - ROS Kinetic
• QT 4.0.0 or higher
• HALCON12 Image processing library
• Open CL
• MySQL
• Tensorflow
• Keras

% sudo apt-get install ros-indigo-desktop-full ros-indigo-nmea-msgs ros-indigo-nmea-navsat-driver ros-indigo-sound-play

• beta-1 initial public release.
• beta-2 support for deep learning inference

The detailed descriptions of this system are provided in the paper;

• "Autonomous robotic searching and assembly of two-dimensional crystals to build van der Waals superlattices", Satoru Masubuchi et al., Nature Communications 9, Article number: 1413 (2018).
• "Classifying optical microscope images of exfoliated graphene flakes by data-driven machine learning", Satoru Masubuchi and Tomoki Machida, npj 2D Materials and Applications volume 3, Article number: 4 (2019)
• "Deep-Learning-Based Image Segmentation Integrated with Optical Microscopy for Automatically Searching for Two-Dimensional Materials", Satoru Masubuchi et al., 4, Article number: 3 (2020)

If the information provided helps your research, it would be appreciated if you could cite the paper in your publications.

I hope to continue developing 2DMMS to become a truly helpful tool for the research community of van der Waals heterostructures. Please feel free to email me with your feedback or any issues at: msatoru@iis.u-tokyo.ac.jp

Satoru Masubuchi

Institute of Industrial Science, University of Tokyo

The following hardware comopnents are supported.