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.
Transfer learning corrects alloy calculations to predict unexplored materials
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