Revealing processing stability landscape of organic solar cells with automated research platforms and machine learning
Abstract We use an automated research platform combined with machine learning to assess and understand the resilience against air and light during production of organic photovoltaic (OPV) devices from over 40 donor and acceptor combinations.The standardized protocol and high reproducibility of the platform results in a dataset of high variety and v