Name	Description
Accelerating Theoretical Spectroscopy through Machine-learning	Supervisor: Dr Nicholas Hine (Physics) Theoretical approaches to predicting and interpreting advanced spectroscopy techniques for investigating energy and charge transfer processes at the nanoscale will be modelled and accelerated with machine-learning tools.
Advanced Boundary Conditions to Enable Quantification of Uncertainty in Atomistic Simulation of Defects	Supervisors: Dr James Kermode (Engineering) and Prof. Christoph Ortner (Mathematics). Accurate models for energy barriers involved in material defect evolution are essential to understand many processes in high performance alloys, for example thermal evolution of radiation damage in nuclear reactor shields.
A Game of Order Parameters	Supervisors: Dr David Quigley (Physics) and Dr Gabriele Sosso (Chemistry). Predicting if, how and when ice crystals will form in clouds (and our own cells!) is important to atmospheric science (and cryopreservation!) and manufacture of pharmaceuticals.
Atomistically-informed continuum interface models for functional composites	Supervisor: Dr Lukasz Figiel (WMG) Functional composites are material candidates for high-energy density applications. Their overall energy density can be enhanced by tailoring constituent dielectric properties, breakdown strength, and interfacial polarisation.
Automatic Prediction and Characterisation of Complex Chemical Reactions	Supervisors: Dr Scott Habershon (Chemistry) Around 90% of all chemical processes use catalysis to control reactivity and selectivity, yet the design of new catalysts too often depends on informed trial-and-error to make progress.
Coupling fluid and kinetic codes for laser-driven inertial fusion energy simulations	Supervisors: Prof. Tony Arber, Dr Keith Bennet and Dr Tom Goffrey (Department of Physics) Coupling kinetic solutions of laser-plasma interactions to large-scale fluid simulations will help optimise experiments aimed at achieving thermonuclear fusion driven by lasers
Fluctuating Hydrodynamics for Liquid Spreading over Heterogeneous Surfaces	Supervisors: Dr James Sprittles (Mathematics) and Prof. Duncan Lockerby (Engineering) Understanding the spreading of liquids over heterogeneous solid surfaces is the key to numerous emerging technologies (e.g. 3D ‘metaljet’ printing) and biological systems (retention of rain by leaves).
Physics of magnets and the arrangements of atoms comprising them	Supervisor: Prof Julie Staunton (Physics) Permanent magnets are widespread - key components in motors and generators, transducers, imaging systems etc. Their fundamental materials physics is also fascinating and challenging.
Uncertainty Assessment of Solute Mixing in Heterogenous Porous Media	Supervisor: Dr Mohad M. Nezhad (Engineering). The transport of chemical substances in the subsurface is relevant in many different applications.