Efficient DPP Donor and Nonfullerene Acceptor Organic Solar Cells with High Photon-to-Current Ratio and Low Energetic Loss

Xin Song, Nicola Gasparini, Masrur Morshed Nahid, Sri Harish Kumar Paleti, Cheng Li, Weiwei Li, Harald Ade, Derya Baran

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

The high crystallinity and ability to harvest near-infrared photons make diketopyrrolopyrrole (DPP)-based polymers one of the most promising donors for high performing organic solar cells (OSCs). However, DPP-based OSC devices still suffer from the trade-off between energetic loss (Eloss) and maximum external quantum efficiency (EQEmax), which significantly hinders their potential. Thus far, the replacement of fullerenes with small molecule acceptors did not wisdom the performance development of DPP-donor-based solar cells due to severe charge recombination issues. In this work, efficient DPP-based solar cells are reported using low bandgap fused ring electron acceptor, IEICO-4F. PBDTT-DPP:IEICO-4F OSC devices deliver a champion power conversion efficiency of 9.66% with successful interface engineering along with low Eloss of 0.57 eV and a high EQEmax (>70%).
Original languageEnglish (US)
Pages (from-to)1902441
JournalAdvanced Functional Materials
Volume29
Issue number34
DOIs
StatePublished - Jun 20 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): NSFC 21574138, NSFC 91633301, N000141712204
Acknowledgements: D.B. acknowledges KAUST Solar Center Fund (CARF) for financial support. W.L. thanks the financial support from NSFC (21574138 and 91633301). GIWAXS measurement and analysis, done by M.M.N. and H.A., were supported by ONR grant N000141712204 and KAUST's Center Partnership Fund (No. 3321). X-ray data were acquired at beamlines 7.3.3 at the Advanced Light Source (ALS) in Berkeley National Lab, which is supported by the U.S. Department of Energy (DE-AC02-05CH11231). Z. Peng, S. Stuard, and I. Angunawela assisted with the GIWAXS data acquisition. C. Zhu is acknowledged for the beamline support

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