journal article·2026-03Open access

Opto‐Ferroelectric Coupling Enhanced α‐In 2 Se 3 Transistors With Light‐Controlled Mode Switchover

Chengming Luo, Wenjie Chen, Lei Zhao, Chenhao Xu, Yanze Song, Yue Wang, Zhidong Pan, Tu Zhao, Yan Li, Yunxin Zhang, Yujue Yang, Wenwu Li, Nengjie Huo

Advanced Materials· Volume 38· Issue 16

Abstract

ABSTRACT Neuromorphic computing is an ideal approach for achieving complex pattern recognition works; however, it is usually incompatible with digital logic processing units, limiting its application scope. Leveraging an opto‐ferroelectric coupling enhanced effect, we herein achieve the light‐controlled mode switchover between logic processing and neuromorphic computing in a ferroelectric transistor with α‐In 2 Se 3 /h‐BN as gate dielectrics and MoS 2 as channel. Under dark conditions, the transistor operates in digital logic mode with a high current on/off ratio of 10 9 , ultra‐low subthreshold swing (SS) of 33 mV/dec, and low leakage current of 5.6 × 10 −13 A, which is promising for logic processing applications. The inverter and NOR circuits with high noise margin and low power consumption were further implemented via interconnecting n‐ and p‐type transistors. Under light conditions, the ferroelectric polarization field of α‐In 2 Se 3 is significantly enhanced, leading to an enlarged hysteresis window (Δ V ) and switching the transistor into an optoelectronic synapse mode for neuromorphic computing, which can support image classification with an accuracy of up to 94.43% and a low energy consumption of 0.47 pJ/spike. This work provides an opto‐ferroelectric coupling‐enhanced transistor that addresses the incompatibility issue between digital logic and neuromorphic computing units, offering a new pathway for next‐generation computing devices.
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Research context

OpenAlex topics: 2D Materials and Applications · Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing

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

Affiliations

Guangdong Provincial Key Laboratory of Chip and Integration Technology School of Electronic Science and Engineering (School of Microelectronics) South China Normal University Foshan People's Republic of China

Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception Institute of Optoelectronics College of Future Information Technology Fudan University Shanghai China

School of Artificial Intelligence Hubei University Wuhan People's Republic of China

School of Physics and Optoelectronic Engineering Guangdong University of Technology Guangzhou People's Republic of China

Funding

National Natural Science Foundation of China · Basic and Applied Basic Research Foundation of Guangdong Province · Science and Technology Commission of Shanghai Municipality

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