Lab of the Future: Artificial Intelligence (AI)-Assisted High-Throughput Research for Printed Organic Photovoltaics
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초록
내용
The emergence of high-performance non-fullerene acceptors (NFA) has enabled a rapid increase in the PCE of organic photovoltaics (OPV). This breakthrough has created new commercialization opportunities for OPV technology, however, the PCEs of roll-to-roll (R2R) OPV devices have been lagging far behind those of laboratory counterparts. As a solution, an automated R2R research platform has been developed to accelerate OPV research toward commercialization. A programmable in situ formulation system with slot die coating, enabled the fabrication of over 10,000 unique research samples. A R2R testing system, with a matched capacity of over 10,000 tests per day, has also been developed and used to characterize R2R-processed OPV devices. The fabrication parameters and testing results have been digitalized to be used with digital technologies, i.e. artificial intelligence (AI) and machine learning (ML). This work demonstrates how digital technologies can accelerate materials research.