4.8 Article

Self-Assembled Nanostructures of Quantum Dot/Conjugated Polymer Hybrids for Photonic Synaptic Transistors with Ultralow Energy Consumption and Zero-Gate Bias

Journal

ADVANCED FUNCTIONAL MATERIALS
Volume 32, Issue 6, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202107925

Keywords

aggregates; artificial synapses; composite nanofibrils; light-stimulation; perovskites

Funding

  1. Featured Area Research Center Program by the Ministry of Education [110L9006]
  2. Ministry of Science and Technology in Taiwan [MOST 110-2634-F-002-043]

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This study investigates the influence of solution processing and treatments on perovskite quantum dot/polymer composite films, leading to improved photonic synaptic performance. The resulting synaptic devices demonstrate superior energy efficiency and operation without a gate, attributed to homogeneous QD distribution and formation of polymer nanofibrils and co-aggregates. These findings offer new insights for the fabrication of artificial synapses mimicking human-like memory and neuromorphic computing.
Herein, it is reported the influence of solution processing and treatments, such as adding marginal solvent, ultrasonication, and UV treatment, on the resulting perovskite (CsPbBr3) quantum dot (QD)/poly(3-hexylthiophene) (P3HT) composite nanofibril films (CNFs) to improve the charge dissociation and photonic synaptic performance. A photonic synaptic transistor with CNFs can perform fundamental functions, including short-term plasticity, long-term plasticity, spike-number-dependent, and spike-time-dependent plasticity, to mimic sensing, computing, and memory functions. Notably, a synaptic device with CNFs presents an ultralow energy consumption of 0.18 fJ and zero-gate operation. The superior performance of synaptic devices with CNFs can be attributed to two factors: (i) homogeneous axial distribution of the QDs and (ii) the formation of P3HT nanofibrils and co-aggregates. Therefore, enhanced interfacial charge transfer between QDs and P3HT, ensuring decent carrier transport capability, is achieved. Collectively, the composite artificial synapse successfully provides an effective guide that offers a new perspective for the fabrication of one-dimensional self-assembled nanostructure-based artificial synapses emulating human-like memory, neuromorphic computing, and artificial intelligent systems.

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