Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV22)
DOI: https://doi.org/10.29363/nanoge.hopv.2022.165
Publication date: 20th April 2022
Single-junction organic solar cells (OSCs) based on nonfullerene acceptors (NFAs) have recently seen dramatic increases in performance, with devices currently achieving over 18% power conversion efficiency (PCE).[1-2] Since the introduction of “Y-series” NFAs, much effort has been expended to understand the reasons for their exceptional performance. While several studies have identified key optoelectronic properties that govern high PCEs, little is known about the molecular level origins of large variations in performance, spanning from 5% to 18% PCE, for example, in the case of OSCs based on PM6 donor polymer and Y6 acceptor. Here, we present a combined solid-state NMR, crystallography, and molecular modeling approach to elucidate the atomic-scale interactions in Y6 crystals, thin films, and PM6:Y6 bulk heterojunction (BHJ) blends (Figure 1).[3] We will show the Y6 morphologies in BHJ blends are not governed by the morphology in neat films or Y6 single crystals. Notably, PM6:Y6 blends processed from different solvents self-assemble into different structures and morphologies, whereby the relative orientations of the sidechains and end groups of the Y6 molecules to their fused-ring cores play a crucial role in determining the resulting morphology and overall performance of the solar cells.[4,5]
References
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B.R.L., N.S., S.Y., S.C, T-Q.N., T.W., G.K., V.C., and J.L.B. gratefully acknowledge the financial support of the United States Department of the Navy, Office of Naval Research (Research Awards No. N00014-21-1-2181 and N00014-21-1-2182). T.W., G.K., V.C., and J.L.B. thank the DOD High Performance Computing Modernization Program for computational resources. Z.D. thanks the Air Force Office of Scientific Research (Grant No. FA9550-19-1-0348) for the financial support. G.N.M.R. acknowledges the financial support from University of Lille, IR-RMN-THC FR-3050 CNRS, and EU-H2020 (Grant No. 795091) for conducting ssNMR experiments. The computational resources were partially provided by the Polish Infrastructure for Supporting Computational Science in the European Research Space (PL-Grid).