Ai-powered predictive design for accelerated food formulation
Harness AI to accelerate food formulation, reducing iterations and enabling data-driven recipe design. Bespoke machine learning models connect ingredients to performance attributes, optimizing formulation and minimizing ...
Ai-enhanced digital twins for food process optimization
Develop digital twins for food manufacturing using a hybrid approach of physics-based and data-driven models. These twins enable real-time process adjustments, scenario testing, and quality prediction, leveraging AI for ...
Multiscale modelling platform for predicting hair-product interactions
An innovative multiscale modelling platform integrates molecular simulations and fluid dynamics to predict hair-product interactions. It offers insights into both immediate dynamics and long-term effects, enhancing formu...
Multiscale MD-AI framework for formulation property prediction and screening
A cutting-edge multiscale modelling framework integrating molecular dynamics and AI to predict physicochemical properties of formulations, enabling rapid virtual ingredient screening.
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