Optimization of uniformity in plasma ashing process using genetic programming

Abstract

Abstract This study is geared toward the optimization of plasma processes through machine learning (ML) based on a regression algorithm. The ML approach has also enabled us 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.