Advanced alloy design using machine learning

By using advanced algorithms and models, the project seeks to automate and optimise various stages of materials analysis, and then, discovery. Through the analysis of vast datasets, experimental results and material properties, novel predictive models will be constructed to accelerate the identification of materials with desired properties. Additionally, the project will explore innovative methods for extracting knowledge from unstructured data sources to inform and guide the materials design process. Specifically, the project will focus on metallic alloys (which may include high entropy alloys, steels, or light-alloys), and there will be opportunities to interact with industry partners in this project - to provide pathways for direct impact and experience.