Department: School of Engineering and Materials Science
Institution: Queen Mary University of London

Research summary

I use machine learning (ML) and atomistic simulation to accelerate materials design and characterisation. My work concentrates on various aspects of the materials discovery process; new materials design – through virtual high-throughput screening and generative models – and automated characterisation. I am particularly focused on design and development of new materials for energy conversion, efficiency and storage.


Solid state, energy materials, machine learning, DFT