I studied for my MChem and D.Phil at the University of Oxford, graduating in 2017. I then spent two years working at the University of Chicago, followed by three years at the Max Planck Institute for the Structure and Dynamics of Matter in Hamburg. I joined the University of York as a Lecturer in 2023, and teach both undergraduate chemistry, focussing primarily on Physical Chemistry, and the interdisciplinary Data Science MSc.
I am interested in using machine learning to accelerate, interpret, and improve electronic structure simulations. My research ranges from predicting fundamental quantities, such as the electron density, to interpreting experimental data, such as photoelectron spectra. I also develop computational chemistry software, including the SALTED machine learning package and FHI-aims electronic structure code.
Learning Electron Densities in the Condensed Phase
AM Lewis, A Grisafi, M Ceriotti, M Rossi, J. Chem. Theory Comput. 17 (11), 7203-7214
Ab Initio Lifetime and Concomitant Double-Excitation Character of Plasmons at Metallic Densities
AM Lewis, TC Berkelbach, Phys Rev. Lett. 122 (22), 226402
Vertex Corrections to the Polarizability Do Not Improve the GW Approximation for the Ionization Potential of Molecules
AM Lewis, TC Berkelbach, J. Chem. Theory Comput. 15 (5), 2925-2932
On the low magnetic field effect in radical pair reactions
AM Lewis, TP Fay, DE Manolopoulos, C Kerpal, S Richert, CR Timmel, J. Chem. Phys. 149 (3)
Asymmetric recombination and electron spin relaxation in the semiclassical theory of radical pair reactions
AM Lewis, DE Manolopoulos, PJ Hore, J. Chem. Phys. 141 (4)
A full list of my publications can be found on Google Scholar