Narrowband light detection via internal quantum efficiency manipulation of organic photodiodes

Ardalan Armin, Ross D. Jansen- van Vuuren, Nikos Kopidakis, Paul L. Burn () and Paul Meredith ()
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Ardalan Armin: Centre for Organic Photonics & Electronics, School of Mathematics and Physics and School of Chemistry and Molecular Biosciences, The University of Queensland
Ross D. Jansen- van Vuuren: Centre for Organic Photonics & Electronics, School of Mathematics and Physics and School of Chemistry and Molecular Biosciences, The University of Queensland
Nikos Kopidakis: National Renewable Energy Laboratory
Paul L. Burn: Centre for Organic Photonics & Electronics, School of Mathematics and Physics and School of Chemistry and Molecular Biosciences, The University of Queensland
Paul Meredith: Centre for Organic Photonics & Electronics, School of Mathematics and Physics and School of Chemistry and Molecular Biosciences, The University of Queensland

Nature Communications, 2015, vol. 6, issue 1, 1-8

Abstract: Abstract Spectrally selective light detection is vital for full-colour and near-infrared (NIR) imaging and machine vision. This is not possible with traditional broadband-absorbing inorganic semiconductors without input filtering, and is yet to be achieved for narrowband absorbing organic semiconductors. We demonstrate the first sub-100 nm full-width-at-half-maximum visible-blind red and NIR photodetectors with state-of-the-art performance across critical response metrics. These devices are based on organic photodiodes with optically thick junctions. Paradoxically, we use broadband-absorbing organic semiconductors and utilize the electro-optical properties of the junction to create the narrowest NIR-band photoresponses yet demonstrated. In this context, these photodiodes outperform the encumbent technology (input filtered inorganic semiconductor diodes) and emerging technologies such as narrow absorber organic semiconductors or quantum nanocrystals. The design concept allows for response tuning and is generic for other spectral windows. Furthermore, it is material-agnostic and applicable to other disordered and polycrystalline semiconductors.

Date: 2015
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DOI: 10.1038/ncomms7343

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