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Scientific literature related to odor perception linked to AJX PoC

With our proof of concept we came to the following conclusion: The correlation (3/3) is the proof of concept: we can predict the smell of a component from its chemical composition. This is a major step in product design and product development because it helps to assess which component has what effect in the creation of a new product!

Several scientific papers relating to odor perception are listed here below and are linked to our first PoC software:

Some are linked to the Nakamoto Laboratory witch which we have had an indrect collaboration with at the Tokyo Institute of Technology:

Predicting human olfactory perception from chemical features of odor molecules

Predicting Odor Perception of Mixed Scent from Mass Spectrometry

Predictive modeling for odor character of a chemical using ML combined with NLP

Predicting human odor perception represented by continuous values from mass spectra of essential oils

Learning Generalizable Perceptual Representations of Small Molecules

Transport features predict if a molecule is odorous

Predicting individual perceptual scent impression from imbalanced dataset using mass spectrum of odorant molecules

Thank you for your attention! Enjoy the reading!

The Ajinomatrix Team

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