Alex's research group website can be found at virtualatoms.org
Alex Ganose is a Lecturer and EPSRC Fellow in the Department of Chemistry.
His research uses computational materials chemistry, machine learning, and data science to design new materials for pressing technological problems, including renewable energy generation (photovoltaics & thermoelectrics) and energy storage.
Alex was awarded his EngD in chemistry from University College London in 2018 after which he undertook a postdoctoral position at Berkeley Lab, California. In 2021, he joined Imperial as an EPSRC Fellow. In 2022, he was appointed as a Lecturer in the Department of Chemistry. He is a co-investigator at the Materials Project.
A full publication list can be found on Google Scholar.
et al., 2023, Correction: Lone pair driven anisotropy in antimony chalcogenide semiconductors, Physical Chemistry Chemical Physics, Vol:25, ISSN:1463-9076, Pages:25055-25055
Wu R, Ganose AM, 2023, Relativistic electronic structure and photovoltaic performance of K<sub>2</sub>CsSb, Journal of Materials Chemistry A, ISSN:2050-7488
Wu R, Ganose AM, 2023, Relativistic electronic structure and photovoltaic performance of K<inf>2</inf>CsSb, Journal of Materials Chemistry A, Vol:11, ISSN:2050-7488, Pages:21636-21644
et al., 2023, Designing transparent conductors using forbidden optical transitions, Matter, Vol:6, ISSN:2590-2393, Pages:3021-3039
et al., 2023, Room-temperature stacking disorder in layered covalent-organic frameworks from machine-learning force fields, Materials Horizons, Vol:10, ISSN:2051-6347, Pages:2883-2891