Contact Details:

Department of Chemistry: G209

PhD student, October 2024-present

PhD Project

My research aims to model the influence of strong quantum correlation and coupling effects on ultra-fast, light and electron-driven dynamics at surfaces. To achieve this I combine techniques like Density-Functional Theory (DFT) and the Density Matrix Renormalisation Group algorithm (DMRG) with state of the art machine learning methods for generating accurate model Hamiltonians and Potential Energy Surfaces.

Background

I completed my master's degree in Physics at the University of Bristol where my research project focused on modelling strongly-interacting quantum spin systems. The models were implemented in Julia and I tested the efficacy of DMRG and Matrix Product State (MPS) methods for finding the groundstate of these systems over completely connected, randomly weighted graphs. The project aimed to better our understanding of the scalability of MPS based algorithms over a wider class of system geometries and topologies.