Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38705
Title: Electron-donating amine-interlayer induced n-type doping of polymer:nonfullerene blends for efficient narrowband near-infrared photo-detection
Authors: LIU, Quan 
Zeiske, Stefan
JIANG, Xueshi 
DESTA, Derese 
MERTENS, Sigurd 
GIELEN, Sam 
SHANIVARASANTHE NITHYANANDA KUMAR, Rachith 
BOYEN, Hans-Gerd 
Armin, Ardalan
VANDEWAL, Koen 
Issue Date: 2022
Publisher: NATURE PORTFOLIO
Source: Nature Communications, 13 (1) (Art N° 5194)
Abstract: Inherently narrowband near-infrared organic photodetectors are highly desired for many applications, including biological imaging and surveillance. However, they suffer from a low photon-to-charge conversion efficiencies and utilize spectral narrowing techniques which strongly rely on the used material or on a nano-photonic device architecture. Here, we demonstrate a general and facile approach towards wavelength-selective near-infrared phtotodetection through intentionally n-doping 500-600 nm-thick nonfullerene blends. We show that an electron-donating amine-interlayer can induce n-doping, resulting in a localized electric field near the anode and selective collection of photo-generated carriers in this region. As only weakly absorbed photons reach this region, the devices have a narrowband response at wavelengths close to the absorption onset of the blends with a high spectral rejection ratio. These spectrally selective photodetectors exhibit zero-bias external quantum efficiencies of similar to 20-30% at wavelengths of 900-1100 nm, with a full-width-at-half-maximum of <= 50 nm, as well as detectivities of >10(12) Jones.
Notes: Liu, Q; Vandewal, K (corresponding author), Hasselt Univ, Agoralaan 1, B-3590 Diepenbeek, Belgium.; Liu, Q; Vandewal, K (corresponding author), IMEC, IMOMEC Div, Wetenschapspk 1, B-3590 Diepenbeek, Belgium.
quan.liu@uhasselt.be; koen.vandewal@uhasselt.be
Document URI: http://hdl.handle.net/1942/38705
e-ISSN: 2041-1723
DOI: 10.1038/s41467-022-32845-5
ISI #: 000849494300019
Rights: The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/.
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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