Improving Industrial Solar Cell Fabrication using Neural Networks and Genetic Algorithms

The present thesis approaches the improvement of the performance metrics of industrially fabricated solar cells. It aims to develop an optimization method that uses machine learning to identify an improved configuration of solar cell production lines. Conventional methods for process improvement rely on modelling experimental data to improve a...