A Review of MXene Memristive Networks: Atomic‐Scale Engineering to Neuromorphic System Integration Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1002/admt.202500685
With the ever‐growing demands of artificial intelligence and big data, the advancement of the conventional von Neumann framework is increasingly hindered by limitations in memory and power consumption. The human brain's energy‐efficient neural mechanisms (e.g., synaptic plasticity) have driven innovations in brain‐inspired computing architectures. Inspired by this, memristors, especially those containing MXenes, can efficiently simulate low‐power, high‐performance synaptic behaviors. MXenes are known for their tunable surface chemistry and excellent electrical conductivity, enabling the fabrication of superior neuromorphic components under ambient conditions. This study elucidates the effectiveness of MXene memristors in simulating synaptic plasticity and adaptive learning, thoroughly examines the challenges in advancing neuromorphic systems, and outlines future directions, thereby providing new possibilities for revolutionizing artificial intelligence and computing technologies.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1002/admt.202500685
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/admt.202500685
- OA Status
- bronze
- References
- 152
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411160615
Raw OpenAlex JSON
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https://openalex.org/W4411160615Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/admt.202500685Digital Object Identifier
- Title
-
A Review of MXene Memristive Networks: Atomic‐Scale Engineering to Neuromorphic System IntegrationWork title
- Type
-
reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-06-08Full publication date if available
- Authors
-
Shuai Yang, Jialin Wang, Dongchen Tan, Nan Sun, Haohao Shi, Sheng Bi, Chengming JiangList of authors in order
- Landing page
-
https://doi.org/10.1002/admt.202500685Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/admt.202500685Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/admt.202500685Direct OA link when available
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Neuromorphic engineering, Atomic units, Scale (ratio), Materials science, Memristor, Computer science, Computer architecture, Nanotechnology, Artificial neural network, Engineering, Electronic engineering, Physics, Artificial intelligence, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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152Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | Advanced Materials Technologies |
| primary_location.landing_page_url | https://doi.org/10.1002/admt.202500685 |
| publication_date | 2025-06-08 |
| publication_year | 2025 |
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