2023/11/27 by Afonin, G. V., Makarov, A. S., Konchakov, R. A. +4
#Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences
paper · doi:10.48550/arxiv.2311.15897
In this work, we show that above the glass transition there exists a strong unique interrelationship between the thermodynamic parameter of disorder of a metallic glass derived using its excess entropy, diffraction measure of disorder given by the width of the X-ray structure factor and defect concentration derived from shear modulus measurements. Below the glass transition, this relationship is more complicated and depends on both temperature and thermal prehistory.