<p>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<sub>2</sub>O<sub>3</sub>/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<sup>2 </sup>V<sup>−1</sup> s<sup>−1</sup>, a 30 µs optical response to 450 nm light, charge retention exceeding ten years, write/erase endurance over 10<sup>4</sup> 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.</p>

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

  • Yilin Zhao,
  • Dongyang Zhu,
  • Ting Jiang,
  • Le Wang,
  • Ruiheng Wang,
  • Guanran Wang,
  • Yu Duan,
  • Haifeng Ling,
  • Deyang Ji,
  • Wenping Hu

摘要

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 (Al2O3/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 cm2 V−1 s−1, a 30 µs optical response to 450 nm light, charge retention exceeding ten years, write/erase endurance over 104 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.