AI-powered computational materials design enabling efficient development and implementation of sustainable metals

Research question

How do we efficiently integrate physical modelling, statistical learning with sparsity, and critical experiments in our computational materials design framework to accelerate the development of sustainable metals?

Sustainability aspects

The industry sectors using metallic materials face tremendous challenges when changing from traditional metals to new sustainable metals. Performance requirements must be kept with novel manufacturing methods and compositions. This means that the development of these new alloys must be accelerated significantly as compared to the traditional trial-and-error method. We aim to develop a computational materials design framework for sustainable metals that can reduce development time from decades to a few years