Prediction of impurity concentrations in AlN single crystals by absorption at 230 nm using random forest regression

Abstract

A sample matrix of C, O, and Si doping in PVT-AlN is presented, and links between concentration and absorption coefficient are demonstrated. A trained random forest model offers a promising approach for the prediction of C, O, and Si content.