Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation-Reference-Cited by-同舟云学术

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

Published:2022-11-14 Issue:1 Volume:33 Page:2208320
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv Funct Materials

Author:

Ling Songtao¹,Zhang Cheng¹,Ma Chunlan¹,Li Yang¹²,Zhang Qichun³⁴^ORCID

Affiliation:

1. Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application School of Physical Science and Technology Suzhou University of Science and Technology Suzhou Jiangsu 215009 China

2. The Key Laboratory of Synthetic and Biological Colloids Ministry of Education Jiangnan University Wuxi Jiangsu 214122 China

3. Department of Materials Science and Engineering City University of Hong Kong Kowloon Hong Kong SAR 999077 China

4. Center of Super‐Diamond and Advanced Films (COSDAF) City University of Hong Kong Kowloon Hong Kong SAR 999077 China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

City University of Hong Kong

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202208320

Reference197 articles.

1. Metal-containing organic compounds for memory and data storage applications

2. Organic Memory and Memristors: From Mechanisms, Materials to Devices

3. Nonvolatile Multistates Memories for High-Density Data Storage

4. Recent Progress of Organic–Inorganic Hybrid Perovskites in RRAM, Artificial Synapse, and Logic Operation

5. In-memory computing with resistive switching devices

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