Dr Matt Hodgson

Associate Lecturer of Theoretical Physics


About me

I graduated from the University of York, UK in 2012 with a Master’s degree in Theoretical Physics with first-class honours. In 2016, I earned my PhD under the supervision of Prof. Rex Godby and received the K. M. Stott Prize for excellence in scientific research for my thesis titled Electrons in Model Nanostructures. During my undergraduate studies, I became a member of the Institute of Physics and, as a PhD student, joined the European Theoretical Spectroscopy Facility. Following my doctorate, I worked for three years as a postdoctoral researcher with Prof. Eberhard Gross at the Max Planck Institute of Microstructure Physics in Halle, Germany. I then spent a year as an independent researcher at Durham University and joined the Royal Society of Chemistry, before starting my lectureship at the University of York in 2021.

My research focuses on the fundamentals of quantum theory and its application to modelling the electron excitation properties of materials. I have published 17 research papers in various international journals. My research contributions include the authorship of the iDEA code, a comprehensive Python software library for exploring and understanding many‑body quantum mechanics, fundamental insights into the calculation of excited electron states with density functional theory, and the development of a method for accurately simulating many‑electron real‑time dynamics.


Electron excitation

Kohn and Sham's approach to density functional theory is the most popular method in materials science; however, it is notoriously unreliable for calculating electron excitation properties.


Electron dynamics

Modelling the response of electrons to an applied electric field remains a challenge; yet determining the flow of charge through a material is crucial for the design of integrated circuits.


Electron emission

Many-body perturbation theory is commonly used to calculate the spectral function; however, increasing the accuracy of this approach is challenging owing to the computational cost.