Predictive Modeling of Dye Solar Cell Degradation

Degradation of dye solar cell performance based on the early changes in electrolyte color is predicted, allowing to estimate lifetime cells even before their efficiency declines. Previous predictive models commonly rely regression analysis predicted parameter; thus, they are unable capture degradation a significant decrease performance. tests, when accelerated, may take thousands hours. As such, recognizing trends can lead rewarding cuts duration development pipelines. With accurate predictions, researchers steer materials research reach longer lifetimes shorter cycles. The power our model relies that directly correlate with concentration tri‐iodide charge carriers within it, loss which predominant mechanism for most liquid‐electrolyte cells. By linking physical mechanisms inside cell, eventually start degrade cells, an prediction be made device still appears stable. It exemplified integrating architecture‐specific knowledge has potential improve predictions photovoltaics.