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Perovskite-Based Memristor with 50-Fold Switchable Photosensitivity for In-Sensor Computing Neural Network

In-sensor computing can simultaneously output image information and recognition results through in-situ visual signal processing, which can greatly improve the efficiency of machine vision. However, in-sensor computing is challenging due to the requirement to controllably adjust the sensor’s photose...

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Autores principales: Chen, Qilai, Han, Tingting, Zeng, Jianmin, He, Zhilong, Liu, Yulin, Sun, Jinglin, Tang, Minghua, Zhang, Zhang, Gao, Pingqi, Liu, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268359/
https://www.ncbi.nlm.nih.gov/pubmed/35808058
http://dx.doi.org/10.3390/nano12132217
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author Chen, Qilai
Han, Tingting
Zeng, Jianmin
He, Zhilong
Liu, Yulin
Sun, Jinglin
Tang, Minghua
Zhang, Zhang
Gao, Pingqi
Liu, Gang
author_facet Chen, Qilai
Han, Tingting
Zeng, Jianmin
He, Zhilong
Liu, Yulin
Sun, Jinglin
Tang, Minghua
Zhang, Zhang
Gao, Pingqi
Liu, Gang
author_sort Chen, Qilai
collection PubMed
description In-sensor computing can simultaneously output image information and recognition results through in-situ visual signal processing, which can greatly improve the efficiency of machine vision. However, in-sensor computing is challenging due to the requirement to controllably adjust the sensor’s photosensitivity. Herein, it is demonstrated a ternary cationic halide Cs(0.05)FA(0.81)MA(0.14) Pb(I(0.85)Br(0.15))(3) (CsFAMA) perovskite, whose External quantum efficiency (EQE) value is above 80% in the entire visible region (400–750 nm), and peak responsibility value at 750 nm reaches 0.45 A/W. In addition, the device can achieve a 50-fold enhancement of the photoresponsibility under the same illumination by adjusting the internal ion migration and readout voltage. A proof-of-concept visually enhanced neural network system is demonstrated through the switchable photosensitivity of the perovskite sensor array, which can simultaneously optimize imaging and recognition results and improve object recognition accuracy by 17% in low-light environments.
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spelling pubmed-92683592022-07-09 Perovskite-Based Memristor with 50-Fold Switchable Photosensitivity for In-Sensor Computing Neural Network Chen, Qilai Han, Tingting Zeng, Jianmin He, Zhilong Liu, Yulin Sun, Jinglin Tang, Minghua Zhang, Zhang Gao, Pingqi Liu, Gang Nanomaterials (Basel) Article In-sensor computing can simultaneously output image information and recognition results through in-situ visual signal processing, which can greatly improve the efficiency of machine vision. However, in-sensor computing is challenging due to the requirement to controllably adjust the sensor’s photosensitivity. Herein, it is demonstrated a ternary cationic halide Cs(0.05)FA(0.81)MA(0.14) Pb(I(0.85)Br(0.15))(3) (CsFAMA) perovskite, whose External quantum efficiency (EQE) value is above 80% in the entire visible region (400–750 nm), and peak responsibility value at 750 nm reaches 0.45 A/W. In addition, the device can achieve a 50-fold enhancement of the photoresponsibility under the same illumination by adjusting the internal ion migration and readout voltage. A proof-of-concept visually enhanced neural network system is demonstrated through the switchable photosensitivity of the perovskite sensor array, which can simultaneously optimize imaging and recognition results and improve object recognition accuracy by 17% in low-light environments. MDPI 2022-06-28 /pmc/articles/PMC9268359/ /pubmed/35808058 http://dx.doi.org/10.3390/nano12132217 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Qilai
Han, Tingting
Zeng, Jianmin
He, Zhilong
Liu, Yulin
Sun, Jinglin
Tang, Minghua
Zhang, Zhang
Gao, Pingqi
Liu, Gang
Perovskite-Based Memristor with 50-Fold Switchable Photosensitivity for In-Sensor Computing Neural Network
title Perovskite-Based Memristor with 50-Fold Switchable Photosensitivity for In-Sensor Computing Neural Network
title_full Perovskite-Based Memristor with 50-Fold Switchable Photosensitivity for In-Sensor Computing Neural Network
title_fullStr Perovskite-Based Memristor with 50-Fold Switchable Photosensitivity for In-Sensor Computing Neural Network
title_full_unstemmed Perovskite-Based Memristor with 50-Fold Switchable Photosensitivity for In-Sensor Computing Neural Network
title_short Perovskite-Based Memristor with 50-Fold Switchable Photosensitivity for In-Sensor Computing Neural Network
title_sort perovskite-based memristor with 50-fold switchable photosensitivity for in-sensor computing neural network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268359/
https://www.ncbi.nlm.nih.gov/pubmed/35808058
http://dx.doi.org/10.3390/nano12132217
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