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Two-dimensional material-based memristive devices for alternative computing.
Panisilvam, Jey; Lee, Ha Young; Byun, Sujeong; Fan, Daniel; Kim, Sejeong.
Afiliación
  • Panisilvam J; Department of Electrical and Electronic Engineering, Faculty of Engineering and Information Technology, University of Melbourne, Melbourne, 3000, Australia.
  • Lee HY; Department of Electrical and Electronic Engineering, Faculty of Engineering and Information Technology, University of Melbourne, Melbourne, 3000, Australia.
  • Byun S; Department of Electrical and Electronic Engineering, Faculty of Engineering and Information Technology, University of Melbourne, Melbourne, 3000, Australia.
  • Fan D; Department of Electrical and Electronic Engineering, Faculty of Engineering and Information Technology, University of Melbourne, Melbourne, 3000, Australia.
  • Kim S; Department of Electrical and Electronic Engineering, Faculty of Engineering and Information Technology, University of Melbourne, Melbourne, 3000, Australia. sejeong.kim@unimelb.edu.au.
Nano Converg ; 11(1): 25, 2024 Jun 27.
Article en En | MEDLINE | ID: mdl-38937391
ABSTRACT
Two-dimensional (2D) materials have emerged as promising building blocks for next generation memristive devices, owing to their unique electronic, mechanical, and thermal properties, resulting in effective switching mechanisms for charge transport. Memristors are key components in a wide range of applications including neuromorphic computing, which is becoming increasingly important in artificial intelligence applications. Crossbar arrays are an important component in the development of hardware-based neural networks composed of 2D materials. In this paper, we summarize the current state of research on 2D material-based memristive devices utilizing different switching mechanisms, along with the application of these devices in neuromorphic crossbar arrays. Additionally, we discuss the challenges and future directions for the field.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nano Converg Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nano Converg Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido