Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing

trap layer, while the optical ST mode is based on the optical ionization mechanism of the IGZO channel. These two ST modes perform the function of a 4-bit reservoir layer with short-term characteristics such as paired-pulse facilitation. Finally, the fully hardware-based RC system, which organically integrates these three modes and applies the hybrid mapping model, achieved a high recognition accuracy of 92.43% in the Modified National Institute of Standards and Technology dataset recognition task.

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Publication Details

Journal
Advanced Science
Published
2026-05-11
DOI
https://doi.org/10.1002/advs.75471
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing

Junsu Yu, S D Kim, Yonghee Jeong, Hyeonho Lee et al.
Advanced Science
Neural Networks and Reservoir Computing
article

Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing

Junsu Yu, S D Kim, Yonghee Jeong, Hyeonho Lee, Seungjun Lee, Chai Yang, Gwangmin An, Heung Soo Kim, Minsu Ko, Tae‐Hyeon Kim
article en

Abstract

trap layer, while the optical ST mode is based on the optical ionization mechanism of the IGZO channel. These two ST modes perform the function of a 4-bit reservoir layer with short-term characteristics such as paired-pulse facilitation. Finally, the fully hardware-based RC system, which organically integrates these three modes and applies the hybrid mapping model, achieved a high recognition accuracy of 92.43% in the Modified National Institute of Standards and Technology dataset recognition task.

Advanced Science
Seoul National University of Science and Technology (KR), Georgia Institute of Technology (US), Hong Kong Polytechnic University (HK), Dongguk University (KR)
National Research Foundation of Korea, Kementerian Pendidikan
Openalex Percentile: Top 5%
Neural Networks and Reservoir Computing
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Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing — Junsu Yu, S D Kim, et al. · Advanced Science (2026) | TGRS Research Map | TGRS