Efficient Exploration of the Composition Space in Ternary Organic Solar Cells by Combining High-Throughput Material Libraries and Hyperspectral Imaging
Albert Harillo-Baños a, Xabier Rodríguez-Martínez a, Mariano Campoy-Quiles a
a Nanoparticles and Nanocomposites G, Institut de Ciència de Materials de Barcelona (ICMAB-CSIC), Bellaterra, Spain
International Conference on Hybrid and Organic Photovoltaics
Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV22)
València, Spain, 2022 May 19th - 25th
Organizers: Pablo Docampo, Eva Unger and Elizabeth Gibson
Poster, Albert Harillo-Baños, 011
Publication date: 20th April 2022

Organic solar cells based on ternary active layers can lead to higher power conversion efficiencies than corresponding binaries, and improved stability. The parameter space for optimization of multicomponent systems is considerably more complex than that of binaries, due to both, a larger number of parameters (e.g., two relative compositions rather than one) and intricate morphology–property correlations. Most experimental reports to date reasonably limit themselves to a relatively narrow subset of compositions (e.g., the 1:1 donor/s:acceptor/s trajectory). This work advances a methodology that allows exploration of a large fraction of the ternary phase space employing only a few (<10) samples. Each sample is produced by a designed sequential deposition of the constituent inks, and results in compositions gradients with ≈10000 points/sample that cover about 15%–25% of the phase space, with the capability of modifying the covered zone with simple changes in deposition parameters. These effective ternary libraries are then colocally imaged by a combination of photovoltaic techniques (laser and Solar Simulator light photocurrent maps) and spectroscopic techniques (Raman, photoluminescence, absorption). The generality of the methodology is demonstrated by investigating multiple ternary systems, like PBDB-T:ITIC:PC70BM, PM6:Y6:PC70BM, and P3HT:O-IDFBR:O-IDTBR. Complex performance-structure landscapes through the ternary diagram as well as the emergence of several performance maxima are discovered.

We use our own and third party cookies for analysing and measuring usage of our website to improve our services. If you continue browsing, we consider accepting its use. You can check our Cookies Policy in which you will also find how to configure your web browser for the use of cookies. More info