My current interest is in applying the AIRSS method to a range of different materials science problems, focussing mainly on lithium-ion batteries. "Trial and error" plays a large part in the discovery of new materials. From the initial idea, the material must be synthesised and categorised before it can tested which is slow, difficult and expensive. High-throughput computation accelerates this process by suggesting then screening new materials, allowing us to ask "what if?" without the time and expense of manufacturing and categorizing samples. I model Li-ion batteries at the atomic level and try to uncover new materials to increase their capacity.

I use global search techniques such as ab initio random structure searching (AIRSS) to predict the ground-state structure of materials. From the ground state we use theoretical spectroscopy techniques to compare our results to experiment. As a junior developer of the electronic structure code CASTEP I develop tools for optics, electron-energy loss spectroscopy (EELS) and core-loss analysis through the OptaDOS code. I use and modify CASTEP-NMR to calculate the chemical shielding of battery materials in collaboration with experimentalists.