HetSys CDT Thesis Library
2024-25: Cohort 2
Best, Iain (2024) Uncertainty quantification with machine learning interatomic potentials using conformal prediction
Gilkes, Joe (2024) Chemical reaction discovery with Kinetica.JL : exploration and simulation of chemical degradation
Peter Lewin-Jones: Liquid drop impacts: when trapped gas nanofilms lead to bouncing
2023-24: Cohort 1
Katarina Blow: The role of kinetics, order parameters, and entropy in computing crystallisation rates
Andrew Angus: Probabilistic modelling of stimulated raman back-scatter in laser direct-drive fusion plasmas at ignition scale
Christopher Woodgate: Atomic arrangements in multicomponent alloys : first-principles theory, atomistic modelling, and implications for magnetic properties
Idil Ismail: Accelerating chemical reaction discovery using graph-driven searches and machine learning strategies.
Jingbang Liu: Fluctuating hydrodynamics of nanoscale thin films.
Carlo Maino: Machine learned potentials for theoretical spectroscopy of molecules in solvent