Susana Fernández de Ávila

Bridging predictive machine learning modeling with experimental fabrication of organic solar cells

Integrating Machine Learning into organic photovoltaic research offers a systematic framework toward efficient parameter screening; however, the physical validation of these computational models during manufacturing remains a significant obstacle. This study proposes a “Predict-t...