AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (8.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Strain-enhanced image recognition via piezo-phototronic effect in MnSe/α-In2Se3 heterostructure photodetector

Shidai Tian1,2Mengmeng Jia2,3Te Xu2,3Xiang Zhang2,3Yulong Wang2Jitao Liu2,3Jizhou Zhang2,3Di Guo2,3Junyi Zhai1,2,3 ( )Feiming Bai1 ( )
School of Electronic Science and Engineering, State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China
Beijing Key Laboratory of High-Entropy Energy Materials and Devices, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
School of Nanoscience and Engineering, University of Chinese Academy of Science, Beijing 100049, China
Show Author Information

Abstract

The discovery of two-dimensional (2D) van der Waals materials has created unprecedented opportunities for flexible optoelectronics and bio-inspired neuromorphic systems. Here, we present a flexible broadband MnSe/α-In2Se3 p–n heterojunction photodetector that simultaneously achieves outstanding optoelectronic performance (1.28 A/W photoresponsivity, 9.11 × 108 Jones detectivity, 353% external quantum efficiency at 450 nm) and strain-tunable response via the piezo-phototronic effect, demonstrating 203.9% enhancement under 0.303% tensile strain and 50.4% suppression under compression. The strain-modulated photoresponse enables direct coupling between optical and mechanical stimuli, where mechanical stimuli are directly converted into photocurrent variations without analog-to-digital conversion. Inspired by this mechanism, we develop a visuo-tactile fusion platform that integrates strain-gated signals as a fourth sensory channel. Implemented in an all-in-one architecture, the system achieves 86% recognition accuracy for Gaussian-blurred CIFAR-10 dataset with only 50 training epochs, while reducing system complexity compared to conventional multi-sensor platforms. This work not only demonstrates a novel heterostructure design for multi-dimensional optoelectronics but also reveals the potential of the piezo-phototronic effect in bio-inspired multisensory integration systems.

Graphical Abstract

The MnSe/α-In2Se3 heterojunction achieves bidirectional strain-tunable ultraviolet–visible broadband detection and pioneers piezophototronic neuromorphic vision, improving blurred image classification accuracy from 63% to 86%. This strain-driven sensory system directly converts mechanical stimuli into neural network inputs, eliminating analog-to-digital conversion and significantly reducing system complexity.

Electronic Supplementary Material

Download File(s)
8320_ESM.pdf (1.6 MB)

References

【1】
【1】
 
 
Nano Research
Article number: 94908320

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Tian S, Jia M, Xu T, et al. Strain-enhanced image recognition via piezo-phototronic effect in MnSe/α-In2Se3 heterostructure photodetector. Nano Research, 2026, 19(4): 94908320. https://doi.org/10.26599/NR.2026.94908320
Topics:

695

Views

96

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Received: 25 September 2025
Revised: 17 November 2025
Accepted: 08 December 2025
Published: 26 February 2026
© The Author(s) 2026. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).