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Machine learning driven high-resolution Raman spectral generation for accurate molecular feature recognition

Machine learning driven high-resolution Raman spectral generation for accurate molecular feature recognition

Through the probing of light-matter interactions, Raman spectroscopy provides invaluable insights into the composition, structure, and dynamics of materials, and obtaining such data from portable and cheap instruments is of immense practical relevance. Here, we propose the integration of a Generative Adversarial Network (GAN) with low-resolution Raman spectroscopy with a …