journal article·2026-07Open access

Ambipolar Organic–Inorganic Heterostructure Transistor Array for Integrated Visual Information Processing

Wen‐Min Zhong, Wenbin Zhang, Yu‐Xiang Zeng, JiYu Zhao, Ziqi Jia, Loganathan Veeramuthu, Guanglong Ding, Yan Yan, Meng Zhang, Su‐Ting Han, Vellaisamy A. L. Roy, Fengyun Wang, Chi‐Ching Kuo, Ye Zhou

Advanced Science· Volume 13· Issue 37

Abstract

ABSTRACT The rapid evolution of artificial intelligence presents not only unprecedented opportunities but also significant technical challenges, particularly in the development of next‐generation computing hardware. To overcome these hurdles, there is an urgent demand for novel chip architectures that offer both ultralow power consumption and high computational efficiency. Neuromorphic computing, inspired by the neural architecture of the human brain, represents a paradigm shift beyond the conventional von Neumann framework, promising remarkable gains in processing capability. Here, we report an ambipolar transistor array based on a vertically stacked polymer/oxide heterostructure, meticulously engineered to integrate electrical computation with optical sensing within a single device. This transistor enables simultaneous electrical and optical modulation, supporting both synaptic transmission under electrical stimuli and dynamic visual information processing under optical inputs. The integrated array system demonstrates efficient and low‐power execution of visual processing, classification, and prediction tasks, highlighting its potential for neuromorphic computing applications such as real‐time traffic analysis. Our findings pave the way for multifunctional and energy‐efficient neuromorphic hardware capable of bridging the gap between sensing and computation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing · Ferroelectric and Negative Capacitance Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Civil and Transportation Engineering Shenzhen University Shenzhen P. R. China

Institute for Advanced Study Shenzhen University Shenzhen P. R. China

State Key Laboratory of Fine Chemicals Frontiers Science Center For Smart Materials Dalian University of Technology Dalian P. R. China

Institute of Organic and Polymeric Materials National Taipei University of Technology Taipei Taiwan

State Key Laboratory of Radio Frequency Heterogeneous Integration Shenzhen University Shenzhen P. R. China

Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic University Hong Kong P. R. China

School of Science and Technology School of Science and Technology Hong Kong Metropolitan University Hong Kong P. R. China

Hong Kong Metropolitan University Shenzhen Research Institute Shenzhen P. R. China

College of Physics Qingdao University Qingdao P. R. China

Advanced Research Center for Green Materials Science and Technology National Taiwan University Taipei Taiwan

Funding

Basic and Applied Basic Research Foundation of Guangdong Province · Guangdong Provincial Department of Science and Technology · Department of Education of Guangdong Province · Science, Technology and Innovation Commission of Shenzhen Municipality

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