Digital Inkjet Printing of High-Efficiency Large-Area Nonfullerene Organic Solar Cells

Daniel Alejandro Corzo Diaz, Khulud Almasabi, Eloise Bihar, Sky Macphee, Diego Rosas Villalva, Nicola Gasparini, Sahika Inal, Derya Baran

Research output: Contribution to journalArticlepeer-review

65 Scopus citations


Novel emerging materials for organic solar cells, such as nonfullerene acceptors, are paving the way for commercialization of organic photovoltaics. Their utilization in unconventional applications, such as conformable and disposable electronics, has turned the focus to inkjet printing as a fabrication method with advantages including low material usage, rapid digital design changes, and high resolution. In this work, the fabrication of efficient nonfullerene acceptor devices through inkjet printing for organic photovoltaic applications is reported for the first time. The engineering of printable poly-3-hexylthiophene:rhodanine-benzothiadiazole-coupled indacenodithiophene (P3HT:O-IDTBR) inks is centered on tuning the rheological properties for proper droplet ejection and the selection of solvents, including hydrocarbons, that meet solubility and volatility requirements to avoid common inkjet printing complications like nozzle clogging. The optimization of printing parameters including drop spacing and deposition temperatures results in homogeneous P3HT:O-IDTBR films with device efficiencies of up to 6.47% for small lab-scale devices (0.1 cm2), comparable with that of spin-coating or blade-coating. A 2 cm2 inkjet-printed device is also shown to achieve a remarkable efficiency of 6%. To demonstrate their potential usage in customized applications, large-area devices are fabricated in the shape of a marine turtle with 4.76% efficiency, showcasing the versatility of the inkjet-printing process for efficient organic photovoltaics.
Original languageEnglish (US)
Pages (from-to)1900040
JournalAdvanced Materials Technologies
Issue number7
StatePublished - Apr 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by the King Abdullah University of Science Technology (KAUST).


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