High‐Throughput Structural Screening and Predictive Modeling of Organic Solar Cells via Machine Learning
The study develops and validates an integrated machine learning framework to accelerate the discovery of high‐performance Y6‐series nonfullerene acceptors for organic solar cells. Addressing the lack of models that directly link molecular structure to device‐level efficiency, especially for Y6‐based systems, the work i...