Machine Learning to Identify Unique Events in Sparse Hyperspectral Datasets

Lead Research Organisation: University of Liverpool
Department Name: Electrical Engineering and Electronics

Abstract

The goal of this PhD project is to investigate machine learning approaches that may permit images from stable materials, obtained from a wide variety of methods, to be used to increase the ability of methods such as hyperspectral imaging in electron microscopy and X-ray systems to observe thermodynamically unstable materials and processes on the atomic scale. Such advances have the potential to significantly impact the search for new personalized medicines, the development of new advanced energy storage systems, and our ability to directly see chemistry important for catalysing environmentally friendly processes.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S023445/1 31/03/2019 29/09/2027
2445278 Studentship EP/S023445/1 30/09/2020 29/09/2024 Jack Wells