Retina‐Inspired Structurally Tunable Synaptic Perovskite Nanocones. (7th August 2021)

• Record Type: Journal Article
• Authors: Lee, Kyuho; Han, Hyowon; Kim, Youngwoo; Park, Jumi; Jang, Seonghoon; Lee, Hyeokjung; Lee, Seung Won; Kim, HoYeon; Kim, Yeeun; Kim, Taebin; Kim, Dongho; Wang, Gunuk; Park, Cheolmin
• Is Part Of: Advanced functional materials. Volume 31:Number 52(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-08-07
• Subjects: artificial retina -- density‐tunable perovskite nanocrystals -- perovskite nanocones -- photonic synapses -- self‐assembled photoreceptors; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adfm.202105596
• Languages: English
• ISSNs: 1616-301X

Abstract

Abstract: Artificial photonic synapses with morphologically controlled photoreception, allowing for area‐dependent tunable light reception as well as information storage and learning, have potential for application in emerging photo‐interactive neuro‐computing technologies. Herein, an artificially intelligent (AI) photonic synapse with area‐density‐tunable perovskite nano‐cone arrays templated in a self‐assembled block copolymer (BCP) is presented, which is based on a field effect transistor with a floating gate of photoreceptive perovskite crystal arrays preferentially synthesized in a micro‐phase‐segregated BCP film. These arrays are capable of electric charge (de)trapping and photo‐excited charge generation, and they exhibit versatile synaptic functions of the nervous system, including paired‐pulse facilitation and long‐term potentiation, with excellent reliability. The area‐density variable perovskite floating gate developed by off‐centered spin coating process allows for emulating the human retina with a position‐dependent spatial distribution of cones. 60 × 12 arrays of the developed synapse devices exhibit position‐dependent dual functions of receptor and synapse. They are AI and exhibit a pattern recognition accuracy up to ≈90% when examined using the Modified National Institute of Standards and Technology handwritten digit pattern recognition test. Abstract : Retina‐like artificially intelligent photonic synapses are demonstrated by utilizing position‐dependent density tunable photoreceptive perovskite nanoscale cones emulating the human retina with spatial distribution of cones. Arrays of the developed synapses exhibit position‐dependent versatile synaptic functions. These unique characteristics enable the demonstrated device array to recognize various visual information with a high degree of accuracy, similar to biological neural networks.