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tdmms / tdmms

Licence: BSD-3-Clause license
Two-dimensional materials manufacturing system

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Two-dimensional materials manufacturing system (2DMMS)

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

Note that this webpage is currently under development.

About 2DMMS

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

License

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

Software Requirements

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

Install dependencies for Ubuntu 14.04

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

Changes

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

Citations

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.

Remarks

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: [email protected]

Satoru Masubuchi

Institute of Industrial Science, University of Tokyo

Hardware support

The following hardware comopnents are supported.

Automated Optical Microscope

Unit Component Parts ID Manufacturer
Autofocus Microscope Autofocus System AF-77VB-N60LP-TDS Chuo Precision
AF-77VB Chuo Precision
CMOS Camera Basler ACE acA2000-340kc Basler
AF Pattern Positioner Chuo Precision
AFC-5 Autofocus Controller Chuo Precision
AF-61ZA Movement module Chuo Precision
Motor Cables 3m for each Chuo Precision
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