Matt graduated from the University of Bath in 2022 with a BSc in Mathematics.
Matt graduated from the University of Bath in 2022 with a BSc in Mathematics. He decided that employment wasn’t for him yet and continued with an MSc in Mathematics and Data Science. Throughout this Masters, he focused on machine learning and numerical analysis and ended the year with a project with the Met Office, applying machine learning techniques to space weather forecasting.Throughout his university life, Matt has worked as a data scientist in Formula Ford, where he focused on building predictive tools to provide optimal strategies and performance optimisation. Throughout all this, he developed further interest in modelling and numerical methods leading to his choice to undertake a PhD in finite element methods with industrial applications. Outside of mathematics, he is a keen climber, often travelling to both the peaks and lakes. He also enjoys playing the piano, cooking and badminton.
Finite element methods for Boltzmann neutron transport equation on polygonal and polyhedral meshes
Tristan Pryer, Luca Zanetti
The design and safety studies of nuclear reactors requires the solution of many multi-physics problems. This approximation is often prohibitively expensive as it requires coupling of complex neutronics and thermal hydraulics dynamics. New techniques that are both efficient and accurate need to be developed to meet the challenge.
The goal of this PhD work is to conceive and develop numerical schemes to solve the Boltzmann equation for neutron transport on polygonal and polyhedral meshes within the context of finite element methods for the spatial discretisation, and other related techniques for other variables. This will also encompass research on graph algorithms for partitioning a set of ordered mesh cells.
This project is being done in collaboration with the CEA, the French Alternative Energies and Atomic Energy Commission.
Students joining SAMBa in 2023