My research interests focus on disordered carbon materials due to their sustainability and tunability to target a wide variety of technological applications, in particular ion batteries, gas storage and air and water purification.
I joined Imperial in 2021 with a Marie Sklodowska-Curie fellowship to work in the optimisation of carbon electrodes for sodium-ion batteries, a more sustainable alternative to lithium-based chemistries. Here, I am working closely with experimentalists leaders in the field to guide the rational design of the active carbon material combining high-throughput atomistic simulation and machine-learning tools.
Prior to joining Imperial, I worked as Senior Computational Materials Scientist in Happy Electron Ltd. (2020), an international start-up company developing next-generation batteries in the electric vehicles industry with headquarters in London. Before moving to London I held positions at The University of Tokyo as JSPS Postdoctoral Fellow, and Curtin University as Research Associate in the Carbon Group.
et al., 2022, Accelerating the prediction of large carbon clusters via structure search: Evaluation of machine-learning and classical potentials, Carbon, Vol:191, ISSN:0008-6223, Pages:255-266
et al., 2021, Adsorption separation of heavier isotope gases in subnanometer carbon pores, Nature Communications, Vol:12, ISSN:2041-1723, Pages:1-9
et al., 2019, Transferability in interatomic potentials for carbon, Carbon, Vol:155, ISSN:0008-6223, Pages:624-634
et al., 2019, Topology of Disordered 3D Graphene Networks, Physical Review Letters, Vol:123, ISSN:0031-9007
et al., 2017, Structural prediction of graphitization and porosity in carbide-derived carbons, Carbon, Vol:119, ISSN:0008-6223, Pages:1-9