High?Detectivity All?Polymer Photodiode Empowers Smart Vitality Surveillance and Computational Imaging Rivaling Silicon Diodes

All?polymer organic photodiode with broadband competence is introduced with a newly designed acceptor material. The significantly improved OPD figures of merit with the polymer third component is investigated, focusing on exciton dynamics, morphology evolution, and trap characteristics. The OPD demonstrates competitive performance in machine learning?based blood pressure (BP) estimation and single?pixel imaging (SPI) in complex imaging environments, rivaling commercial silicon diodes.Near?infrared (NIR) organic photodetectors (OPDs), particularly all?polymer?based ones, hold substantial commercial promise in the healthcare and imaging sectors. However, the process of optimizing their active layer composition to achieve highly competitive figures of merit lacks a clear direction and methodology. In this work, celebrity polymer acceptor PY?IT into a more NIR absorbing host system PBDB?T:PZF?V, to significantly enhance the photodetection competence, is introduced. The refined all?polymer ternary broadband photodetector demonstrates superior performance metrics, including experimentally measured noise current as low as 6 fA Hz?1/2, specific detectivity reaching 8 × 1012 Jones, linear dynamic range (LDR) of 145 dB, and swift response speed surpassing 200 kHz, striking a fair balance between sensitivity and response speed. Comprehensive morphological and photophysical characterizations elucidate the mechanisms behind the observed performance enhancements in this study, which include reduced trap density, enhanced charge transport, diminished charge recombination, and balanced electron/hole mobilities. Moreover, the practical deployment potential of the proof?of?concept device in self?powered mode is demonstrated through their application in a machine learning?based cuffless blood pressure (BP) estimation system and in high?resolution computational imaging across complex environments, where they are found to quantitatively rival commercial silicon diodes.

» Publication Date: 30/07/2024

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 768737


                   




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