PhD Studentship: Particle Properties by Design

Lead Supervisor’s full name & email address:

Dr Anuradha Pallipurath

Co-supervisor name(s) & email address(s)

To be confirmed

Project summary:

This interdisciplinary project presents an exciting opportunity for an ambitious scientist or engineer to work across the boundaries of chemistry, physics and engineering, with opportunities to develop a broad portfolio of skills.

• Being able to predictively design particle properties is of great economic value and is applicable to a range of industries such as pharmaceuticals, agrochemical, additives, cosmetics and food.
• This project aims to develop machine learning models to predict a particle shape and size for a given chemical formulae and crystallisation method.
• Extractive Language learning models developed will be able to understand crystallographic information from the big data available in the CSD and enable future applications in considering other particle propertie...