Unknown

Dataset Information

Spectral descriptors for bulk metallic glasses based on the thermodynamics of competing crystalline phases.


ABSTRACT: Metallic glasses attract considerable interest due to their unique combination of superb properties and processability. Predicting their formation from known alloy parameters remains the major hindrance to the discovery of new systems. Here, we propose a descriptor based on the heuristics that structural and energetic 'confusion' obstructs crystalline growth, and demonstrate its validity by experiments on two well-known glass-forming alloy systems. We then develop a robust model for predicting glass formation ability based on the geometrical and energetic features of crystalline phases calculated ab initio in the AFLOW framework. Our findings indicate that the formation of metallic glass phases could be much more common than currently thought, with more than 17% of binary alloy systems pot

SUBMITTER: Perim E 

PROVIDER: S-EPMC4974662 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature