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Title: Narrowband Light Detection via Internal Quantum Efficiency Manipulation of Organic Photodiodes

Journal Article · · Nature Communications
DOI:https://doi.org/10.1038/ncomms7343· OSTI ID:1220709
 [1];  [1];  [2];  [1];  [1]
  1. Univ. of Queensland, Brisbane (Australia). Centre for Organic Photonics & Electronics
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)

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 materialagnostic and applicable to other disordered and polycrystalline semiconductors.

Research Organization:
Energy Frontier Research Centers (EFRC) (United States). Molecularly Engineered Energy Materials (MEEM); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES); Australian Research Council
Grant/Contract Number:
AC36-08GO28308; SC0001342
OSTI ID:
1220709
Report Number(s):
NREL/JA-5900-63985
Journal Information:
Nature Communications, Vol. 6
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 359 works
Citation information provided by
Web of Science

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