Long-Term Stable Organic Photodetectors with Ultra Low Dark Currents for High Detectivity Applications

Kielar, Marcin, Dhez, Olivier, Pecastaings, Gilles, Curutchet, Arnaud and Hirsch, Lionel (2016) Long-Term Stable Organic Photodetectors with Ultra Low Dark Currents for High Detectivity Applications. Scientific Reports, 6 39201 .1-39201 .11. doi:10.1038/srep39201


Author Kielar, Marcin
Dhez, Olivier
Pecastaings, Gilles
Curutchet, Arnaud
Hirsch, Lionel
Title Long-Term Stable Organic Photodetectors with Ultra Low Dark Currents for High Detectivity Applications
Journal name Scientific Reports   Check publisher's open access policy
ISSN 2045-2322
Publication date 2016-12-01
Sub-type Article (original research)
DOI 10.1038/srep39201
Open Access Status DOI
Volume 6
Start page 39201 .1
End page 39201 .11
Total pages 11
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Collection year 2017
Language eng
Abstract Printed organic photodetectors can transform plastic, paper or glass into smart surfaces. This innovative technology is now growing exponentially due to the strong demand in human-machine interfaces. To date, only niche markets are targeted since organic sensors still present reduced performances in comparison with their inorganic counterparts. Here we demonstrate that it is possible to engineer a state-of-the-art organic photodetector approaching the performances of Si-based photodiodes in terms of dark current, responsivity and detectivity. Only three solution-processed layers and two low-temperature annealing steps are needed to achieve the performance that is significantly better than most of the organic photodetectors reported so far. We also perform a long-term ageing study. Lifetimes of over 14,000 hours under continuous operation are more than promising and demonstrate that organic photodetectors can reach a competitive level of stability for successful commercialization of this new and promising technology.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Brain Institute Publications
 
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Created: Tue, 04 Apr 2017, 10:57:36 EST by Marcin Kielar on behalf of Learning and Research Services (UQ Library)