Deep neural networks enhance fragrance design with scent predictions

Researchers have explored the potential of deep neural networks (DNNs) in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor descriptor data from 94 essential oils to generate fragrance profiles, validated through sensory evaluations to align with human olfactory perceptions. The study underscores the technological ability to streamline fragrance creation, reduce costs, and foster innovation, opening up exciting possibilities for personalized and scalable scent development.

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