This study is geared toward the optimization of plasma processes through machine learning (ML) based on a regression algorithm. The ML approach also enabled to tune the parameters of plasma distribution. As the contribution rate for parameters can be calculated, ML offers the possibility of principal component analysis for a new process window.
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