Developing Novel Tools for Analysis of Local Order Using Total Scattering Data
Explore the atomic-scale structure of materials by developing integrated tools that simplify total scattering data analysis. Use machine learning and collaborate with national UK facilities to push boundaries in metallurgy and materials science.
AI-generated overview
Project Description
Project Overview
Total scattering is an advanced X-ray and Neutron scattering technique providing atomic-scale insights into material structures. This technique's potential is limited by the complexity of data processing and analysis, especially in metallurgical systems. The project seeks to develop novel tools that integrate diverse software suites to streamline this workflow, making the technique more accessible.
What You Will Do
The project involves coding, data curation, and practical experiments at UK national X-ray and Neutron facilities including ISIS Neutron and Muon Source and Diamond Light Source. It combines method development with machine learning to enhance analysis quality and user guidance through software integration. Collaboration with the STFC Scientific Computing team and the Royce Institute Materials 4.0 CDT cohort provides a rich environment for interdisciplinary research.
Expected Outcomes
The deliverables include a coherent analytical workflow tool that facilitates information transfer between software suites, a curated dataset, and machine learning methods to boost analysis. This will lower barriers for new users and unlock novel materials exploration areas by expanding total scattering applications.
Why This Matters
Understanding short-range order and local structure in materials can influence properties such as radiation damage tolerance, electrical resistivity, and strengthening capability. By simplifying total scattering analysis, this research enables wider adoption of the technique, benefiting materials science sectors including energy, batteries, and structural materials.
Entry Requirements
How to Apply
Eligibility
Supervisor Profile
Dr Lewis Owen is a Senior Lecturer in Metallurgy Characterisation at the University of Sheffield. His research focuses on total scattering techniques to study local atomic structure and short-range order in complex materials, especially high-entropy alloys. He combines experimental scattering methods with data analysis and machine learning to advance understanding of materials properties. Dr Owen is recognized for his impactful work documented in respected materials science journals.