Machine learning and atomic layer deposition: predicting saturation times from reactor growth profiles using artificial neural networks

1 code implementation • 10 May 2022 • Angel Yanguas-Gil, Jeffrey W. Elam

In this work we explore the application of deep neural networks to the optimization of atomic layer deposition processes based on thickness values obtained at different points of an ALD reactor.