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Flexible Multiband Photonic Synapses for Nociceptive Perception and Neuromorphic Computation via Fluorinated InP

Wanlong Lu1,2, Peixian Li1, Bin Zeng2

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Advanced Materials (Deerfield Beach, Fla.)
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Environmentally friendly indium phosphide quantum dots enable flexible organic photonic synaptic transistors. These devices mimic biological synapses, offering high performance and color selectivity for neuromorphic visual systems.

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Area of Science:

  • Materials Science
  • Neuroscience
  • Optoelectronics

Background:

  • Organic photonic synaptic transistors (OPSTs) are key for neuromorphic visual systems, requiring multispectral responsiveness.
  • Current OPSTs use quantum dots (QDs) but face challenges like complex fabrication, poor flexibility, and toxicity (Cd/Pb).

Purpose of the Study:

  • To develop a flexible, solution-processed OPST using eco-friendly indium phosphide (InP) QDs.
  • To address environmental and biosafety concerns associated with traditional QD-based OPSTs.

Main Methods:

  • Fabrication of flexible OPSTs using solution-processed InP QDs.
  • Ligand exchange with fluorinated thiols to enhance QD properties.
  • Characterization of device performance, including synaptic behavior, mechanical durability, and color selectivity.

Main Results:

  • Demonstrated a fully solution-processed, self-supporting flexible OPST based on InP QDs.
  • Achieved improved photostability, energy level alignment, and long-term charge retention via ligand exchange.
  • Exhibited broadband excitatory postsynaptic current (EPSC) responses, tunable plasticity, and ultralow energy consumption (0.016 fJ).
  • Showcased color selectivity for blue-feature recognition and suppression of red-green noise, mimicking cornea-like nociceptor behavior.

Conclusions:

  • Developed high-performance, eco-friendly, and flexible photonic synapse devices using InP QDs.
  • The study offers a viable strategy for advanced neuromorphic computing and visual perception applications.
  • Highlighted the potential of InP QDs in creating safer and more sustainable brain-inspired electronic systems.