A. I. Mardare

Physics-informed deep learning for predicting optical properties of Nb–Ta anodic oxide films from spectroscopic ellipsometry

The prediction of optical properties for anodic oxide films from spectroscopic ellipsometry data constitutes a typical inverse problem. Traditional iterative fitting methods suffer from high computational cost and strong dependence on the model structure. This study develops a physics-informed deep learning framework t...