Estimator Algorithms for Determining the Elastic Properties of Chalcogenide Glasses Based on Elemental Composition
Thomas J. Loretz
Accurate prediction of the elastic properties of chalcogenide glasses (ChGs) remains a long-standing challenge due to the structural complexity of amorphous networks and the limited availability of reliable mechanical measurements. In this work, we develop a set of numerical estimator algorithms capable of predicting Poisson's ratio, Young's modulus, the Bulk modulus, and the Shear modulus of a ChG solely from its elemental composition. Building on our earlier density-estimator framework, we int