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2D Reconfigurable Memory Device Enabled by Defect Engineering for Multifunctional Neuromorphic Computing

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

In this era of artificial intelligence and Internet of Things, emerging new computing paradigms such as in-sensor and in-memory computing call for both structurally simple and multifunctional memory devices. Although emerging two-dimensional (2D) memory devices provide promising solutions, the most reported devices either suffer from single functionalities or structural complexity. Here, this work reports a reconfigurable memory device (RMD) based on MoS2/CuInP2S6 heterostructure, which integrates the defect engineering-enabled interlayer defects and the ferroelectric polarization in CuInP2S6, to realize a simplified structure device for all-in-one sensing, memory and computing. The plasma treatment-induced defect engineering of the CuInP2S6 nanosheet effectively increases the interlayer defect density, which significantly enhances the charge-trapping ability in synergy with ferroelectric properties. The reported device not only can serve as a non-volatile electronic memory device, but also can be reconfigured into optoelectronic memory mode or synaptic mode after controlling the ferroelectric polarization states in CuInP2S6. When operated in optoelectronic memory mode, the all-in-one RMD could diagnose ophthalmic disease by segmenting vasculature within biological retinas. On the other hand, operating as an optoelectronic synapse, this work showcases in-sensor reservoir computing for gesture recognition with high energy efficiency. © 2024 The Author(s). Advanced Materials published by Wiley-VCH GmbH.
Original languageEnglish
Article number2403785
JournalAdvanced Materials
Volume36
Issue number35
Online published15 Jul 2024
DOIs
Publication statusPublished - 28 Aug 2024

Funding

C.T. thanks the funding support from the National Natural Science Foundation of China – Excellent Young Scientists Fund (Hong Kong and Macau) (52122002), ECS scheme (21201821) and General Research Fund (11200122) from the Research Grant Council of Hong Kong. Z.W. thanked the support from the Hong Kong Research Grant Council (Grant Nos. 27206321 and 17205922), National Natural Science Foundation of China – Excellent Young Scientists Fund (Hong Kong and Macau) (Grant No. 62122004).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • defect engineering
  • ferroelectric polarization
  • neuromorphic computing
  • reconfigurable memory device
  • van der Waals heterostructure

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/

RGC Funding Information

  • RGC-funded

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