Transfer learning corrects alloy calculations to predict unexplored materials

Metals can be transformed into alloys by adding different elements, allowing their strength, stability and other properties to be tailored. A key parameter for understanding these properties is the volume size factor (VSF), which quantifies lattice distortion caused by differences in atomic size.

Originally published at Phys.org