Deep Learning Methods for Microstructural Image Analysis: The State-of-the-Art and Future Perspectives
Finding quantitative descriptors representing the microstructural features of a given material
is an ongoing research area in the paradigm of Materials-by-Design. Historically, the …
is an ongoing research area in the paradigm of Materials-by-Design. Historically, the …
Computer vision methods for the microstructural analysis of materials: the state-of-the-art and future perspectives
Finding quantitative descriptors representing the microstructural features of a given material
is an ongoing research area in the paradigm of Materials-by-Design. Historically …
is an ongoing research area in the paradigm of Materials-by-Design. Historically …
An open-source robust machine learning platform for real-time detection and classification of 2D material flakes
The most widely used method for obtaining high-quality two-dimensional (2D) materials is
through mechanical exfoliation of bulk crystals. Manual identification of suitable flakes from …
through mechanical exfoliation of bulk crystals. Manual identification of suitable flakes from …
Automated system for the detection of 2D materials using digital image processing and deep learning
J Sanchez-Juarez, M Granados-Baez… - Optical Materials …, 2022 - opg.optica.org
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 …
modulation make them ideal for integrated photonic devices. However, identifying if the films …
Pixel-wise classification in graphene-detection with tree-based machine learning algorithms
Mechanical exfoliation of graphene and its identification by optical inspection is one of the
milestones in condensed matter physics that sparked the field of two-dimensional materials …
milestones in condensed matter physics that sparked the field of two-dimensional materials …
Automatic 2D material detection and quantum emission prediction using deep learning-based models
F Ramezani - 2023 - scholarworks.montana.edu
The realm of quantum engineering holds immense promise for revolutionizing technological
landscapes, particularly with the advent of 2D materials in quantum device applications. The …
landscapes, particularly with the advent of 2D materials in quantum device applications. The …