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.
Results may appear later and can be imperfect.
Results may appear later and can be imperfect.
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