Reconfigurable, Self-Adaptive Organic–Metal Oxide Hybrid Phototransistors for Highly Sensitive Photosensing and In-Sensor Image Preprocessing

Organic-metal oxide hybrid phototransistors (HPTs) with gate-tunable photoresponse and heterointerfacial photogating effects are promising candidates for developing reconfigurable intelligent optoelectronic systems. However, achieving reconfigurability and self-adaptability in organic-metal oxide HPTs remains a challenge. Herein, we propose a reconfigurable and self-adaptive HPT based on indium-gallium-zinc oxide and organic bulk heterojunction, capable of gate-tunable dual modes with both highly sensitive photosensing and light-intensity-adaptive bidirectional photoresponse for in-sensor image preprocessing. The photocarrier trapping dynamics at the organic-metal oxide heterointerface generate bipolar photogating effects under the synergistic modulation of gate bias and light intensity, enabling reconfigurable and self-adaptive photoresponse in organic-metal oxide HPTs. The highly sensitive photosensing mode exhibits broadband photodetection with a high dark current shot noise-limited specific detectivity over 10<sup>14</sup> Jones. In the light-intensity-adaptive bidirectional photoresponse mode, the HPT performs self-adaptive in-sensor image denoising. This work provides physical insights into the heterointerfacial photocarrier trapping dynamics in organic-metal oxide HPTs and efficient design strategies for reconfigurable and self-adaptive biomimetic optoelectronics.

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Publication Details

Journal
ACS Nano
Published
2026-02-10
DOI
https://doi.org/10.1021/acsnano.5c18429
Primary Topic
Transition Metal Oxide Nanomaterials
Type
article
Field-Weighted Citation Impact
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article

Reconfigurable, Self-Adaptive Organic–Metal Oxide Hybrid Phototransistors for Highly Sensitive Photosensing and In-Sensor Image Preprocessing

Minglong Chen, Hanming Li, Qinqi Ren, Jiahui Wu et al.
ACS Nano
Transition Metal Oxide Nanomaterials
article

Reconfigurable, Self-Adaptive Organic–Metal Oxide Hybrid Phototransistors for Highly Sensitive Photosensing and In-Sensor Image Preprocessing

Minglong Chen, Hanming Li, Qinqi Ren, Jiahui Wu, Lingjiao Zhang, Hang Zhou, Dingwei Li, Jingyong Liang, Z. Li, Yaping Li, J Pan, Tian Sun, Yuhan Zhang, Genghui Zhang, Haocheng Huang, Xiaoci Liang, Chuan Liu
article en

Abstract

Organic-metal oxide hybrid phototransistors (HPTs) with gate-tunable photoresponse and heterointerfacial photogating effects are promising candidates for developing reconfigurable intelligent optoelectronic systems. However, achieving reconfigurability and self-adaptability in organic-metal oxide HPTs remains a challenge. Herein, we propose a reconfigurable and self-adaptive HPT based on indium-gallium-zinc oxide and organic bulk heterojunction, capable of gate-tunable dual modes with both highly sensitive photosensing and light-intensity-adaptive bidirectional photoresponse for in-sensor image preprocessing. The photocarrier trapping dynamics at the organic-metal oxide heterointerface generate bipolar photogating effects under the synergistic modulation of gate bias and light intensity, enabling reconfigurable and self-adaptive photoresponse in organic-metal oxide HPTs. The highly sensitive photosensing mode exhibits broadband photodetection with a high dark current shot noise-limited specific detectivity over 10<sup>14</sup> Jones. In the light-intensity-adaptive bidirectional photoresponse mode, the HPT performs self-adaptive in-sensor image denoising. This work provides physical insights into the heterointerfacial photocarrier trapping dynamics in organic-metal oxide HPTs and efficient design strategies for reconfigurable and self-adaptive biomimetic optoelectronics.

ACS NanoVol. 20(7)
Chinese University of Hong Kong (HK), Jilin University (CN), Peking University (CN), Australian Regenerative Medicine Institute (AU), Westlake University (CN), Jilin Medical University (CN), State Key Laboratory of Optoelectronic Materials and Technology, Monash University (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 62%
Transition Metal Oxide Nanomaterials
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