A Magnetostrictive‐actuated Bionic Piezo‐Phototronic Device for Dual‐Threshold Adaptive Vision System

Abstract A wide dynamic range perception capability of biological vision relies on its adaptive neural modulation mechanisms, whereas bionic optoelectronic devices require precise and multi‐threshold modulation of photocurrent to attain or even surpass the corresponding functionality. Here, bidirectional photocurrent modulation under a magnetic field is accomplished in a novel magnetostrictive‐actuated piezo‐phototronic heterojunction device (MAPP‐HJT), which incorporates Terfenol‐D as the substrate and integrates two orthogonally arranged heterostructures, each consisting of vertically stacked mica, α‐In 2 Se 3 flakes, and few‐layer WSe 2 . The meticulously fabricated MAPP‐HJT exhibits an outrageous photocurrent enhancement factor of 3180.7 under magneto‐induced tensile strain fields, whereas the photocurrent inhibition factor attains 1736.2 under magneto‐induced compressive strain fields. Based on these remarkable magneto‐bidirectional regulation characteristics and combined with a convolutional neural network (CNN), the established bionic dual‐threshold adaptive vision system not only improves high‐illumination images (with luminance at 300% of the reference image) recognition accuracy by 1.3 times but also enhances low‐illumination images (with luminance at 10% of the reference image) recognition accuracy by over 3.2 times. These findings promote the progress of piezo‐phototronics while further providing a new paradigm for the design of adaptive bionic vision devices.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-09-12
DOI
https://doi.org/10.1002/adfm.202516899
Citations
1
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.73

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article

A Magnetostrictive‐actuated Bionic Piezo‐Phototronic Device for Dual‐Threshold Adaptive Vision System

Junyi Zhai, Shidai Tian, Di Guo, Yuanhong Shi et al.
1 citations
Advanced Functional Materials
Perovskite Materials and Applications
0.73
article

A Magnetostrictive‐actuated Bionic Piezo‐Phototronic Device for Dual‐Threshold Adaptive Vision System

Junyi Zhai, Shidai Tian, Di Guo, Yuanhong Shi, Zekun Li, Jitao Liu, Zhong Lin Wang, Mengshuang Chi
article en
1 citations

Abstract

Abstract A wide dynamic range perception capability of biological vision relies on its adaptive neural modulation mechanisms, whereas bionic optoelectronic devices require precise and multi‐threshold modulation of photocurrent to attain or even surpass the corresponding functionality. Here, bidirectional photocurrent modulation under a magnetic field is accomplished in a novel magnetostrictive‐actuated piezo‐phototronic heterojunction device (MAPP‐HJT), which incorporates Terfenol‐D as the substrate and integrates two orthogonally arranged heterostructures, each consisting of vertically stacked mica, α‐In 2 Se 3 flakes, and few‐layer WSe 2 . The meticulously fabricated MAPP‐HJT exhibits an outrageous photocurrent enhancement factor of 3180.7 under magneto‐induced tensile strain fields, whereas the photocurrent inhibition factor attains 1736.2 under magneto‐induced compressive strain fields. Based on these remarkable magneto‐bidirectional regulation characteristics and combined with a convolutional neural network (CNN), the established bionic dual‐threshold adaptive vision system not only improves high‐illumination images (with luminance at 300% of the reference image) recognition accuracy by 1.3 times but also enhances low‐illumination images (with luminance at 10% of the reference image) recognition accuracy by over 3.2 times. These findings promote the progress of piezo‐phototronics while further providing a new paradigm for the design of adaptive bionic vision devices.

Advanced Functional MaterialsVol. 36(13)
Beijing Institute of Nanoenergy and Nanosystems (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 23%
Perovskite Materials and Applications
0.73
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