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http://hdl.handle.net/1942/49926| Title: | Carbazole-based organic ammonium iodide salts as a versatile interlayer for the HTL/perovskite interface in inverted perovskite solar cells | Authors: | LENAERS, Stijn LAMMAR, Stijn KRISHNA, Anurag MOTMANS, Brent RUTTENS, Bart D'HAEN, Jan AERNOUTS, Tom VANPOUCKE, Danny EP VANDEWAL, Koen Portale, Giuseppe LUTSEN, Laurence VANDERZANDE, Dirk VAN GOMPEL, Wouter |
Issue Date: | 2026 | Publisher: | Elsevier | Source: | Solar Energy Materials and Solar Cells, 307 (Art N° 114662) | Abstract: | Inverted p-in perovskite solar cells (PSCs) have drastically increased in efficiency in recent years, partially due to the inclusion of self-assembling molecules (SAMs) as hole transporting materials (HTLs) and the addition of large organic ammonium salts as a passivating interlayer. In this study, the effect of halogen-functionalized carbazole-based ammonium salts as interlayers between the perovskite absorber and different HTLs is investigated. Fluorinated (F 2-Cz), chlorinated (Cl 2-Cz), and brominated (Br 2-Cz) derivatives are synthesized and incorporated into p-in PSCs using NiOx, PTAA, 2PACz, and 4PAPyr as HTLs. All interlayers improve the open-circuit voltage (V oc), indicating effective defect passivation. Notably, a systematic increase in current density (J sc) and overall PCE is observed across the halogen series from fluorine to bromine. Br 2-Cz consistently delivered the highest performance across all tested HTLs, confirming its versatility as an interlayer that is compatible with different types of HTL. The highest power conversion efficiency of 20.9% (0.125 cm 2) is achieved when applying the brominated carbazole derivative Br 2-Cz on top of the in-house synthesized pyrene-based SAM 4PAPyr. These findings highlight the potential of targeted molecular engineering of interlayers to optimize solar cell performance. | Keywords: | Perovskite solar cells;Interlayers;Ammonium salts;Molecular design | Document URI: | http://hdl.handle.net/1942/49926 | ISSN: | 0927-0248 | e-ISSN: | 1879-3398 | DOI: | 10.1016/j.solmat.2026.114662 | Rights: | 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. | Category: | A1 | Type: | Journal Contribution |
| Appears in Collections: | Research publications |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| SolMat published version.pdf Restricted Access | Published version | 4.29 MB | Adobe PDF | View/Open Request a copy |
| SolMat Author version.pdf Until 2027-02-24 | Peer-reviewed author version | 2.09 MB | Adobe PDF | View/Open Request a copy |
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