Carbon-based memristors for resistive random access memory and neuromorphic applications Article Swipe
Fan Yang
,
Zhaorui Liu
,
Xumin Ding
,
Yang Li
,
Cong Wang
,
Guozhen Shen
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.chip.2024.100086
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.chip.2024.100086
As a typical representative of nanomaterials, carbon nanomaterials have attracted widespread attention in the construction of electronic devices owing to their unique physical and chemical properties, multi-dimensionality, multi-hybridization methods, and excellent electronic properties. Especially in the recent years, memristors based on carbon nanomaterials have flourished in the field of building non-volatile memory devices and neuromorphic applications. In the current work, the preparation methods and structural characteristics of carbon nanomaterials of different dimensions were systematically reviewed. Afterwards, in depth discussion on the structural characteristics and working mechanism of memristors based on carbon nanomaterials of different dimensions was conducted. Finally, the potential applications of carbon-based memristors in logic operations, neural network construction, artificial vision systems, artificial tactile systems, and multimodal perception systems were also introduced. It is believed that this paper will provide guidance for the future development of high-quality information storage, high-performance neuromorphic applications, and high-sensitivity bionic sensing based on carbon-based memristors.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.chip.2024.100086
- OA Status
- gold
- Cited By
- 16
- References
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://doi.org/10.1016/j.chip.2024.100086Digital Object Identifier
- Title
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Carbon-based memristors for resistive random access memory and neuromorphic applicationsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-02Full publication date if available
- Authors
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Fan Yang, Zhaorui Liu, Xumin Ding, Yang Li, Cong Wang, Guozhen ShenList of authors in order
- Landing page
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https://doi.org/10.1016/j.chip.2024.100086Publisher landing page
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.chip.2024.100086Direct OA link when available
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Neuromorphic engineering, Memristor, Resistive random-access memory, Carbon fibers, Nanotechnology, Computer science, Materials science, Artificial intelligence, Engineering, Electronic engineering, Electrical engineering, Artificial neural network, Algorithm, Voltage, Composite numberTop concepts (fields/topics) attached by OpenAlex
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16Total citation count in OpenAlex
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2025: 14, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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