• Corpus ID: 207760681

Fully automated identification of 2D material samples.

@article{Greplova2019FullyAI,
  title={Fully automated identification of 2D material samples.},
  author={Eliska Greplova and Carolin Gold and Benedikt Kratochwil and Tim Davatz and Riccardo Pisoni and Annika Kurzmann and Peter Rickhaus and Mark H. Fischer and Thomas Ihn and Sebastian D. Huber},
  journal={arXiv: Mesoscale and Nanoscale Physics},
  year={2019}
}
Thin nanomaterials are key constituents of modern quantum technologies and materials research. Identifying specimens of these materials with properties required for the development of state of the art quantum devices is usually a complex and lengthy human task. In this work we provide a neural-network driven solution that allows for accurate and efficient scanning, data-processing and sample identification of experimentally relevant two-dimensional materials. We show how to approach… 

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