Flexible organic thin-film transistors for all-in-one retinomorphic acceleration enabled by inorganic-organic heterogeneous dielectrics

Abstract Organic neuromorphic visual sensors promise to overcome the limitations of conventional image sensors, but a trade-off between efficient charge transport and charge trapping has hindered the development of interfaces that combine efficient optical sensing and non-volatile memory. Here we show that an inorganic-organic heterogeneous dielectric (Al 2 O 3 /PAA), fabricated by low-temperature plasma-enhanced atomic layer deposition and spin-coating, enables flexible thin-film transistors with integrated sensing-memory-processing functions. The devices exhibit an average mobility of 22.65 cm 2 V −1 s −1 , a 30 µs optical response to 450 nm light, charge retention exceeding ten years, write/erase endurance over 10 4 cycles, an electrical response down to 130 ns, and stable multilevel programming at 10 µs. They emulate synaptic plasticity and achieve recognition accuracies of 99.49% (gesture), 94.78% (digit) and 92.56% (face). When integrated with a convolutional neural network accelerator, the system demonstrates real-time, interference-resistant face detection, highlighting the potential of this dielectric architecture for flexible neuromorphic vision systems.

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Publication Details

Journal
Nature Communications
Published
2026-07-27
DOI
https://doi.org/10.1038/s41467-026-76116-z
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Flexible organic thin-film transistors for all-in-one retinomorphic acceleration enabled by inorganic-organic heterogeneous dielectrics

Haifeng Ling, Wenping Hu, Deyang Ji, DQ Zhu et al.
Nature Communications
Advanced Memory and Neural Computing
article

Flexible organic thin-film transistors for all-in-one retinomorphic acceleration enabled by inorganic-organic heterogeneous dielectrics

Haifeng Ling, Wenping Hu, Deyang Ji, DQ Zhu, Yu Duan, G Greg Wang, Le Wang, Ting Jiang, Ruiheng Wang, Yilin Zhao
article en

Abstract

Abstract Organic neuromorphic visual sensors promise to overcome the limitations of conventional image sensors, but a trade-off between efficient charge transport and charge trapping has hindered the development of interfaces that combine efficient optical sensing and non-volatile memory. Here we show that an inorganic-organic heterogeneous dielectric (Al 2 O 3 /PAA), fabricated by low-temperature plasma-enhanced atomic layer deposition and spin-coating, enables flexible thin-film transistors with integrated sensing-memory-processing functions. The devices exhibit an average mobility of 22.65 cm 2 V −1 s −1 , a 30 µs optical response to 450 nm light, charge retention exceeding ten years, write/erase endurance over 10 4 cycles, an electrical response down to 130 ns, and stable multilevel programming at 10 µs. They emulate synaptic plasticity and achieve recognition accuracies of 99.49% (gesture), 94.78% (digit) and 92.56% (face). When integrated with a convolutional neural network accelerator, the system demonstrates real-time, interference-resistant face detection, highlighting the potential of this dielectric architecture for flexible neuromorphic vision systems.

Nature Communications
Tianjin University of Technology (CN), Tianjin University (CN), Jilin University (CN), Nanjing University of Posts and Telecommunications (CN), State Key Laboratory on Integrated Optoelectronics (CN)
National Natural Science Foundation of China, Natural Science Foundation of Tianjin City, National Key Research and Development Program of China
Openalex Percentile: Top 16%
Advanced Memory and Neural Computing
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