Publication date: 14th September 2021
With the emergence of tandem solar cell structures, the role of transparent conductive oxide thin films implemented in these structures is gaining significant attention. Production and deposition of transparent conductive thin films requires precise deposition techniques when integrated within tandem cell structures and even more challenging when scalability is considered. Here we report on implementing deep artificial neural network models as a tool in predicting electrical property of transparent oxides deposited via sputtering technique based on the spectral emissions from the plasma. The end goal is to create smart sputter deposition systems dedicated to tandem solar cell manufacturing.
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