Correlating Digital and Experimental Chemical Space to Pharmaceutical Manufacturing Processes

Project: Research Studentship - Internally Allocated

Project Details


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.
Effective start/end date1/12/231/12/27

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):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure


  • Machine Learning
  • Particle Informatics
  • QbDD
  • Continuous Manufacturing
  • Continuous Crystallisation
  • Manufacturing Classification System
  • Crystal Classification System
  • Solid State


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