Prediction of power conversion efficiency parameter of inverted organic solar cells using artificial intelligence techniques

The overconsumption of traditional energy resources is leading to their depletion, which in turn contributes to increased pollution and global warming. Consequently, the depletion of these resources and the resulting pollution have created a growing demand for renewable energy sources.

As a third-generation photovoltaic technology, organic solar cells utilize an active layer composed of organic molecules with a π conjugated structure.