DeepAcceptor
Computational design and screening of acceptor materials for organic solar cells
Motivation
It is a time-consuming and costly process to develop affordable and high-performance organic photovoltaic materials. Developing reliable computational methods to predict the power conversion efficiency (PCE) is crucial to triage unpromising molecules in large-scale databases and accelerate the material discovery process. In this study, a deep learning-based… See the full description on the dataset page: https://huggingface.co/datasets/tahiriqbal141/PCE.
