Presentation + Paper
28 September 2023 Structurally tunable perovskite nanocones for artificial synaptic retina
Author Affiliations +
Abstract
Artificial photonic synapses, designed for emerging photo-interactive neuro-computing technologies, have been developed with area-density-tunable perovskite nano-cone arrays within a self-assembled block copolymer (BCP). These arrays, part of a field effect transistor with a floating gate of photoreceptive perovskite crystals, can trap and release electric charges, exhibiting functions like paired-pulse facilitation and long-term potentiation. Crafted using an off centered spin coating process, the perovskite floating gate emulates the human retina's position-dependent spatial distribution of cones. Arranged in 60 × 12 arrays, the synapse devices serve dual functions as receptors and synapses, demonstrating AI capabilities with pattern recognition accuracy up to 90%, as tested with the Modified National Institute of Standards and Technology handwritten digit pattern recognition test.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
HoYeon Kim, Kyuho Lee, and Cheolmin Park "Structurally tunable perovskite nanocones for artificial synaptic retina", Proc. SPIE 12661, Organic and Hybrid Sensors and Bioelectronics XVI, 1266104 (28 September 2023); https://doi.org/10.1117/12.2676591
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KEYWORDS
Perovskite

Block copolymers

Retina

Cones

Nanocrystals

Artificial intelligence

Photography

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