New paper: Analyzing microstructure relationships in porous copper using a multi-method machine learning-based approach
Material properties prediction from a given microstructure is important for accelerated design but a comprehensive methodology is lacking. Here, a multi-method ML- approach is utilized to understand the processing-structure-property relationship for differently processed porous materials.
