Organic Photovoltaic

Organic photovoltaics (OPVs) research aims to improve the efficiency and stability of solar cells using organic materials, offering potential for low-cost, flexible, and sustainable energy solutions. Current research heavily utilizes machine learning, employing models like those based on graph neural networks and large language models, to predict power conversion efficiency and degradation, accelerating material discovery by analyzing vast chemical spaces and experimental data. These predictive models, often hyper-optimized and validated against extensive datasets, are crucial for identifying high-performing organic semiconductors and optimizing device fabrication processes, ultimately driving advancements in OPV technology.