Data-Driven Discovery of the Processing Genome for Heterogenous Superalloy Microstructures
This Designing Materials to Revolutionize and Engineer our Future (DMREF) funded project aims to revolutionize the creation of novel engineering alloys by focusing on the relationship between the process of production and the material's resultant microstructure - the internal structure invisible to the naked eye. This relationship is a crucial but less-explored segment of the material science lifecycle, yet directly connects processing to performance. Using cutting-edge machine learning and data science, the project team will build a platform, named as DRAGONS (Data-driven Recursive AI-powered Generator of Optimized Nanostructured Superalloys), to discover these connections, enabling more nuanced control over material production. DRAGONS will prescribe ideal processing conditions to achieve a specific material microstructure. This project carries broad significance, with the potential to drive advancements in diverse sectors that rely on novel materials including electronics, healthcare, energy, and transportation. Additionally, the project's educational outreach activities aim to inspire the next generation of scientists and engineers by providing a more diverse, inclusive, and sustainable pathway into these fields. Hence, this research carries potential to catalyze scientific advancement, foster economic growth, and enhance educational outcomes.