Project Details
Description
This project will deliver a novel, interpretable machine-learning model for predicting powder flow considering physical, chemical, and computed molecule/particle features. The output of this model will facilitate the rapid development of new medicines manufacturing.
| Status | Active |
|---|---|
| Effective start/end date | 1/12/23 → 1/12/27 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Keywords
- Machine Learning
- Particle Informatics
- QbDD
- Continuous Manufacturing
- Continuous Crystallisation
- Manufacturing Classification System
- Crystal Classification System
- Solid State
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