Stories, tips and updates from the world leaders in Materials Informatics.
A new open database of corrosion-resistant alloys
Understanding corrosion is important for material selection in product design. As new alloy types are developed, such as HEAs, new methods are needed to predict localized corrosion. Machine Learning (ML) is suited to this as it can cover a wide range of alloy types and use a broad base of inputs such as environmental factors, processing conditions, microstructure, and simulation data (e.g, thermodynamic and kinetic quantities). But a machine learning model needs data on which to be trained. …