Adaptive organic phototransistor for light-suppressed regulation

C Chaoyou Xu (College of Electronic and Information Engineering, Qingdao University 1 , Qingdao 266071,) Y Yiran Wang T Tao Wang J Jie Su (The State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Center of Hydrogen Science, Innovation Center for Future Materials, Zhangjiang Institute for Advanced Study) F Fengxu Guo (College of Electronic and Information Engineering, Qingdao University 1 , Qingdao 266071,) Z Zhiheng Zhang H Haoran Liu (Marine Biogeochemistry Division, GEOMAR Helmholtz Centre for Ocean Research) J Jingping Liu T Ting Xu

Abstract

Light-adaptive synapse devices rely on physical mechanisms capable of dynamically responding to light intensity changes, where the negative photoconductivity (NPC) effect is crucial for achieving light-suppressed regulation. This study constructs an adaptive organic phototransistor (AOPT) based on a pentacene/PTCDI-C13 p–n heterojunction, systematically investigating the NPC mechanism and its regulation of photosynaptic plasticity. The device employs PVN and P(VDF-TrFE-CFE) as the capture layer and dielectric layer, respectively. The recombination of photogenerated carriers at the p–n interface, coupled with the capture effect of PVN, jointly induces a significant NPC response. Based on this mechanism, the device achieves synaptic inhibitory plasticity regulation dependent on light pulse intensity, duration, number, and frequency, while exhibiting wavelength selectivity. By integrating electrically driven long-term potentiation with optically driven long-term depression, the device successfully simulates the human eye's light–dark adaptation process. In artificial vision systems, the AOPT array achieved image recognition accuracies of 86.88% and 86.31% under light and dark adaptation conditions, respectively. This study provides a mechanistic foundation and design strategy for photo-electro-optic cooperative plasticity in organic optoelectronic devices, demonstrating their potential for visual information processing under complex illumination conditions.

Article Details

Volume / Issue Vol. 128, Issue 21
Published May 25, 2026
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (9)

C

Chaoyou Xu

College of Electronic and Information Engineering, Qingdao University 1 , Qingdao 266071,

Y

Yiran Wang

T

Tao Wang

J

Jie Su

The State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Center of Hydrogen Science, Innovation Center for Future Materials, Zhangjiang Institute for Advanced Study

F

Fengxu Guo

College of Electronic and Information Engineering, Qingdao University 1 , Qingdao 266071,

Z

Zhiheng Zhang

H

Haoran Liu

Marine Biogeochemistry Division, GEOMAR Helmholtz Centre for Ocean Research

J

Jingping Liu

T

Ting Xu