Machine learning to accelerate alloy design

This invention uses machine learning to quickly find new metal alloys or composite materials with specific desired properties. It takes in data about materials, such as their composition or manufacturing process, and then uses various mathematical models, including physics-based ones, to predict how new materials will perform. The claims specifically describe a software system that imports and prepares material data for these predictions, including steps like data transformation and normalization.