Noel joined the group in September 2025 for his PhD as part of the EPSRC DigitalMetal CDT, in collaboration with UK Atomic Energy Authority (UKAEA) / NEURONE. He studied Chemistry (MChem) at the University of Leeds, including a Year in Industry. During his placement at Domino Printing Sciences Plc, he worked in a multidisciplinary team on developing more renewable ink formulations. His MChem research project explored using 3D-printed templates to grow uniquely shaped inorganic crystals via amorphous precursors at the water-air interface. He is now working on fusion-relevant alloys, with a focus on making materials testing more efficient and data-rich.
Project: High-Throughput, Gradient-based Discovery and Demonstration of Novel Fusion Alloys
The project uses gradient specimens (e.g., composition, temperature and irradiation) so a single sample can cover a wider range of conditions than traditional “one test, one alloy” approaches. The main output is a correlative dataset collected from the same region, combining SEM/EDX with EBSD and nanoindentation mapping. Post-processing registration is used to correct modality-specific distortions and enable point-by-point links between chemistry, microstructure and local mechanical response. The aim is to build a practical workflow that supports quicker comparison of candidate alloys and clearer down-selection for follow-on testing.
