Researchers have developed a deep learning-based approach that significantly streamlines the accurate identification and classification of two-dimensional (2D) materials through Raman spectroscopy. In comparison, traditional Raman analysis methods are slow and require manual subjective interpretation. This new method will speed up the development and analysis of 2D materials, which are used in a variety of applications such as electronics and medical technologies.
