Materials Theory Group
Lewis is a PDRA in the Materials Theory Group. He is a member of the Joint Research Centre between the Department of Materials Science & Metallurgy, University of Cambridge and the Advanced Institute for Materials Research, Tohoku University.
Lewis performs calculations on materials at high pressures using density functional theory and machine-learned potentials and uses high throughput methods such as AIRSS to discover new materials. His current research with Chris Pickard is related to high-pressure hydrides and superconductivity.
See Google Scholar for an up-to-date list
Quantum-induced hydrogen hopping in high-temperature superconducting lanthanum polyhydride
14 April 2023
Figure caption : Quantum effects are essential for hydrogen to dynamically explore different configurations. On the left, we see how the hydrogen atoms cover much larger distances at all temperatures when quantum effects are...
26 September 2022
Figure Caption : Pentagonal ice – a two-dimensional form of ice predicted to form when water is squeezed between graphene sheets. Water can be found trapped in nanoscale cavities, for example in biological membranes, or in...
2 August 2022
Ben completed his PhD viva last week, covering his work on SHEAP , and he will soon be Dr Shires. Congratulations! shires.jpg
14 July 2022
First-principles structure prediction has enabled the computational discovery of materials with extreme, or exotic properties. For example, the dense hydrides, which following computational searches have been found to...
7 January 2022
A study by Joseph Nelson and Chris Pickard of the Department of Materials Science and Metallurgy, University of Cambridge and the AIMR, Tohoku University, uses structure prediction to exhaustively explore the Ti-C-O and Al-C-O ternary systems.
Postdoc in High Temperature Conventional Superconductivity
5 January 2022
Applications are invited for a postdoctoral research position with Professor Chris Pickard at the University of Cambridge. Recent advances in computational methods have raised the prospect of the in silico design of high...
Visualising potential energy surfaces using dimensionality reduction
25 November 2021
Computational structure prediction has emerged as a highly successful approach to the discovery of new materials. Candidate structures are created by constructing the most stable configurations that can be adopted by a given...
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