2019/01/21 by Jason J. Maldonis, Paul M. Voyles, Maldonis, Jason J. +1
Engineering · #FOS: Physical sciences #Material Science and Thermodynamics #Materials Science (cond-mat.mtrl-sci) #Surface Roughness and Optical Measurements
paper · pdf · doi:10.48550/arxiv.1901.07014
openalex publication_date 2019/01/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We use a structure analysis technique that quantifies cluster geometries using machine learning to identify a bicapped square antiprism (BSAP) as the nearest-neighbor cluster involved in the glass transition in Pd82Si18, a prototype metal-metalloid metallic glass. BSAPs have slow dynamics and grow significantly in concentration during cooling, like icosahedra in other systems. These results are evidence that some preferred structures universally contribute to the glass transition and show that analysis of interatomic geometry can find important structures not revealed by topology.