This project will develop sophisticated data analysis workflows to effectively gain insights from large multidimensional data.
The work combines micro-structural reconstruction with in-situ tracking of micro-structural evolution over time, integrating advanced data analytics, and AI-driven approaches aligned with the Materials 4.0 paradigm. This will enable the efficient extraction and analysis of high-dimensional data that will contribute to a deeper understanding of microstructure–property relationships.
phd researcher - Micaela Alvarez
supervisor - Prof Tim Burnett
Project supported by Xnovotech at The University of Manchester
