Data-driven performance prediction of polymer solar cells using multi-layer perceptron with Bayesian hyperparameter tuning
Polymer solar cells (PSCs) rely on labor-intensive trial-and-error experiments to optimize power conversion efficiency (PCE), due to complex coupling of molecular electronic properties, blend morphology and fabrication parameters. This work develops an interpretable prediction framework integrating multi-layer perceptr...