- Explore the impacts of environmental conditions on food freshness and appearance, such as chocolate bloom
- Assess the impacts of substituting plant-based or “green” fats and oils with quantitative structure-property relationship (QSPR) models
- Predict the properties of product formulations and optimize them for end markets with native machine learning workflows
- Generate pharmacophore models to predict new odorants and flavorants with the CATALYST tool in BIOVIA Discovery Studio
- Predict skin permeation of active ingredients and additives with BIOVIA COSMOplex
- Calculate solubility with BIOVIA COSMOtherm
- Determine the emission and absorption spectra of pigment molecules
- Identify molecular features that impart desirable consumer properties such as foam formation and stability with QSPR models
- Predict micelle formation to assess detergent activity and behavior
- Determine the impacts of substituting ingredients with “green” alternatives
- Calculate thermodynamic properties such as solvent vapor pressure with BIOVIA COSMOtherm to determine their use in aerosols and sprays
- Predict the properties of polymers and blends to optimize them for food packaging and transport
- Determine degradation products of packaging due to the environment
- Calculate strength of adhesives and understand the mechanism of binding