Machine learning for smell: ordinal odor strength prediction of molecular perfumery components

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Authors: Peter Fichtelmann, Julia Westermayr
Cited by: 1
References: 60

Abstract

Predicting olfactory perception directly from molecular structure is central to product design in a wide range of industries, such as perfumery, food and beverage, and health care.

Fields of Study & Subjects

Olfactory and Sensory Function Studies Advanced Chemical Sensor Technologies Insect Pheromone Research and Control

Publication details

Journal / source
RSC Advances
Publisher
Royal Society of Chemistry (RSC)
Volume
16
Issue
28
Pages
25696–25704
Publication date
1 January 2026
Language
EN