4.8 Article

Probing Optical Multi-Level Memory Effects in Single Core-Shell Quantum Dots and Application Through 2D-0D Hybrid Inverters

Journal

ADVANCED MATERIALS
Volume -, Issue -, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202303664

Keywords

2D-0D hybrid; inverters; optical multi-level memory; recognition task

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A 2D-0D hybrid optical multi-level memory (OMM) device operated by laser pulses is demonstrated using CdSe/ZnS type-I core/shell quantum dots. The study establishes the mechanism of the OMM effect and tests it by stimulating different positions on the hybrid structure with laser pulses. A fully optically-controlled multi-level memory inverter is proposed based on the independent MM characteristics induced by laser pulses.
Challenges in the development of a multi-level memory (MM) device for multinary arithmetic computers have posed an obstacle to low-power, ultra-high-speed operation. For the effective transfer of a huge amount of data between arithmetic and storage devices, optical communication technology represents a compelling solution. Here, by replicating a floating gate architecture with CdSe/ZnS type-I core/shell quantum dots (QDs), a 2D-0D hybrid optical multi-level memory (OMM) device operated is demonstrated by laser pulses. In the device, laser pulses create linear optically trapped currents with MM characteristics, while conversely, voltage pulses reset all the trapped currents at once. Assuming electron transfer via the energy band alignment between MoS2 and CdSe, the study also establishes the mechanism of the OMM effect. Analysis of the designed device led to a new hypothesis that charge transfer is difficult for laterally adjacent QDs facing a double ZnS shell, which is tested by separately stimulating different positions on the 2D-0D hybrid structure with finely focused laser pulses. Results indicate that each laser pulse induced independent MM characteristics in the 2D-0D hybrid architecture. Based on this phenomenon, we propose a MM inverter to produce MM effects, such as programming and erasing, solely through the use of laser pulses. Finally, the feasibility of a fully optically-controlled intelligent system based on the proposed OMM inverters is evaluated through a CIFAR-10 pattern recognition task using a convolutional neural network.

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