Department: Chemistry
Institution: University College London
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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.

Keywords:

Solid state, energy materials, machine learning, DFT

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