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Recent progress in neuromorphic and memory devices based on graphdiyne. | LitMetric

Recent progress in neuromorphic and memory devices based on graphdiyne.

Sci Technol Adv Mater

MOE International Joint Laboratory of Materials Microstructure, Institute for New Energy Materials and Low Carbon Technologies, School of Material Science and Engineering, Tianjin University of Technology, Tianjin, China.

Published: April 2023

AI Article Synopsis

  • - Graphdiyne (GDY) is a new form of carbon with unique properties and a direct bandgap, leading to its potential in various applications like catalysis and energy storage.
  • - Recent advancements have enabled the creation of large-area, high-quality GDY films, making it suitable for high-performance electrical devices.
  • - The review focuses on GDY-based memory and neuromorphic devices, exploring their roles in neuromorphic computing and artificial visual systems, thus expanding GDY's application beyond traditional fields.

Article Abstract

Graphdiyne (GDY) is an emerging two-dimensional carbon allotrope featuring a direct bandgap and fascinating physical and chemical properties, and it has demonstrated its promising potential in applications of catalysis, energy conversion and storage, electrical/optoelectronic devices, etc. In particular, the recent breakthrough in the synthesis of large-area, high-quality and ultrathin GDY films provides a feasible approach to developing high-performance electrical devices based on GDY. Recently, various GDY-based electrical and optoelectronic devices including multibit optoelectronic memories, ultrafast nonvolatile memories, artificial synapses and memristors have been proposed, in which GDY plays a crucial role. It is essential to summarize the recent breakthrough of GDY in device applications as a guidance, especially considering that the existing GDY-related reviews mainly focus on the applications in catalysis and energy-related fields. Herein, we review GDY-based novel memory and neuromorphic devices and their applications in neuromorphic computing and artificial visual systems. This review will provide an insight into the design and preparation of GDY-based devices and broaden the application fields of GDY.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116926PMC
http://dx.doi.org/10.1080/14686996.2023.2196240DOI Listing

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