Application of artificial neural network to determine the thickness profile of thin film
arXiv:2210.11421 · doi:10.1016/j.matpr.2022.06.220
Abstract
In this paper, we introduce a novel artificial neural network (ANN) based scheme to estimate the thickness of thin films deposited on a given substrate. Here we consider the visible interference pattern between a plane wave and a diverging wave reflected from the thin film surface that records the thickness information of the thin film. We assume a uniform thickness profile of the film. However, the thickness increases as the deposition takes place. We extract the intensity data along a line through the center of the interference pattern. We train our network by using a number of such line information of known thickness profiles. The performance of the trained network is then tested by estimating the thickness of unknown surfaces. The numerical simulation results show that the proposed technique can be very much useful for automated measurement of thickness, quickly and in real time, during deposition
8 pages, 4 figures, XII Biennial National Conference of Physics Academy of North East (PANE2021) 15-17 December, 2021