Research Interests
Open to PhD applications in the field of machine learning and atomistic simulation for aqueous systems, including surface spectroscopy and interfacial systems - particularly those involved in water treatment.
Research students
| PhD Title | Neural Network Interatomic Potentials for Kaolin Materials |
| Name | Sam Shepherd |
| Years of study | 2020-2024 |
| PhD Title | Machine Learning for Molecular Magnetism |
| Name | Ethan Crawford |
| Years of Study | 2024-Present |
| PhD Title | Machine Learning for Computational Water Treatment |
| Name | Ollie Cunningham |
| Years of Study | 2024-Present |
Discover More
- Faculty of Engineering and Physical Sciences
- School of Mathematics and Physics
- Centre for Quantum Materials and Technologies