4.8 Article

Vertical 0D-Perovskite/2D-MoS2van der Waals Heterojunction Phototransistor for Emulating Photoelectric-Synergistically Classical Pavlovian Conditioning and Neural Coding Dynamics

期刊

SMALL
卷 16, 期 45, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.202005217

关键词

2D-MoS2; neuromorphic computing; perovskite quantum dots; phototransistors; vertical van der Waals heterojunction

资金

  1. Central South University Research Fund for Innovation-driven program [2019CX024]
  2. Natural Science Foundation of Hunan Province [2018JJ3652]
  3. China Postdoctoral Science Foundation [2018M632985, 2018T110839]

向作者/读者索取更多资源

Optoelectronic-neuromorphic transistors are vital for next-generation nanoscale brain-like computational systems. However, the hardware implementation of optoelectronic-neuromorphic devices, which are based on conventional transistor architecture, faces serious challenges with respect to the synchronous processing of photoelectric information. This is because mono-semiconductor material cannot absorb adequate light to ensure efficient light-matter interactions. In this work, a novel neuromorphic-photoelectric device of vertical van der Waals heterojunction phototransistors based on a colloidal 0D-CsPbBr3-quantum-dots/2D-MoS(2)heterojunction channel is proposed using a polymer ion gel electrolyte as the gate dielectric. A highly efficient photocarrier transport interface is established by introducing colloidal perovskite quantum dots with excellent light absorption capabilities on the 2D-layered MoS(2)semiconductor with strong carrier transport abilities. The device exhibits not only high photoresponsivity but also fundamental synaptic characteristics, such as excitatory postsynaptic current, paired-pulse facilitation, dynamic temporal filter, and light-tunable synaptic plasticity. More importantly, efficiency-adjustable photoelectronic Pavlovian conditioning and photoelectronic hybrid neuronal coding behaviors can be successfully implemented using the optical and electrical synergy approach. The results suggest that the proposed device has potential for applications associated with next-generation brain-like photoelectronic human-computer interactions and cognitive systems.

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