Automated system for the detection of 2D materials using digital image processing and deep learning

Automated system for the detection of 2D materials using digital image processing and deep learning

The unique properties of two-dimensional materials for light emission, detection, and modulation make them ideal for integrated photonic devices. However, identifying if the films are indeed monolayers is a time-consuming process even for well-trained operators. We develop an intelligent algorithm t...

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Bibliographic Details
Main Authors: AGUILAR-LASSERRE, A.A (Author), Cardenas, J. (Author), Granados-Baez, M. (Author), Sanchez-Juarez, J. (Author)
Format: Article
Language:English
Published: Optica Publishing Group (formerly OSA) 2022
Subjects:
Accuracy rate
Automated systems
Automation
Boron nitride
Deep learning
E-learning
Emission detection
Emission modulations
High-accuracy
Image processing
Integrated photonic devices
Intelligent Algorithms
Layered semiconductors
Light detection
Molybdenum compounds
Monolayers
Photonic devices
Property
Selenium compounds
Transition metals
Two-dimensional materials
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