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Zhou Ye's team published a research paper in the Nature Index Journal of Physical Chemistry Letters: Near infrared organic synaptic transistors for trajectory recognition

Source: Institute for Advanced Study Release time: 2024-08-27 21:58 Number of hits: Views

On August 21, Zhou Ye's team published a paper in the journal Nature IndexJournal of Physical Chemistry LettersA research paper entitled "Near-Infrared Response Organic Synaptic Transistor for Dynamic Trace Extraction" was published。This research paper explores the synaptic performance and near-infrared light trace recognition of organic synaptic transistors using near-infrared light response。Luan Wanhong, a 2023 graduate student at the Institute for Advanced Study of Shenzhen University, is the first author, Zhou Ye from the Institute for Advanced Study, Ding Guanglong from the School of Electronic Information and Engineering, and Guo Jiqing from Taipei University of Science and Technology are the corresponding authors, and Shenzhen University is the first completed unit。

Developing neuromorphic hardware that can detect and recognize moving objects through in-sensor computing is an important part of constructing distributed edge computing systems。In addition to responding to visible light, neuromorphic hardware should also have the ability to perceive and process non-visible light, which is essential for tracking the trajectory of target objects in special environments。By adding doped LaF3: Yb/Ho upconversion quantum dots (UCQDs) to a poly3-hexylthiophene (P3HT) based channel with field effect transistor (FET),Organic synaptic transistors with near infrared (NIR) response were prepared,As a charge capture and infrared sensing site。The obtained synaptic transistors not only replicate synaptic behavior common under near-infrared light, but also demonstrate potential applications for animal dynamic trajectory recognition under dark conditions。Compared with other monitoring technologies, P3HT transistors doped with LaF3: Yb/Ho UCQDs have obvious advantages in near-infrared response, efficient calculation and sensitivity, which provides an experimental basis for future research and a design reference for the development of the next generation of intelligent dynamic image recognition systems。The research was supported by the National Natural Science Foundation of China, the Royal Society of Chemistry of the United Kingdom, the Independent Project of the National Key Laboratory of RF Heterogeneous Integration, the Basic and Applied Basic Research Foundation of Guangdong Province, the Science and Technology Innovation Bureau of Shenzhen City, Shenzhen University and Taipei University of Science and Technology in 2024。

Link to original article: http://pubs.acs.org/doi/10.1021/acs.jpclett.4c02238