Recent scientific advancements have opened new opportunities for the close observation of physical phenomena. Researchers at University of Cambridge and University of Newcastle recently introduced a ...

To leverage advancements in machine learning for metallic materials design and property prediction, it is crucial to develop a data-reduced representation of metal microstructures that surpasses the ...

Many modern functional devices, like batteries, solar cells or fuel cells, consist of an agglomeration of individual crystallites. The efficiency of the respective device depends largely on the ...