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- Title
Two-dimensional material-based memristive devices for alternative computing.
- Authors
Panisilvam, Jey; Lee, Ha Young; Byun, Sujeong; Fan, Daniel; Kim, Sejeong
- 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.
- Subjects
MEMRISTORS; ARTIFICIAL intelligence; NEURAL development; THERMAL properties
- Publication
Nano Convergence, 2024, Vol 11, Issue 1, p1
- ISSN
2196-5404
- Publication type
Article
- DOI
10.1186/s40580-024-00432-7