Organic Frameworks Memristor: An Emerging Candidate for Data Storage, Artificial Synapse, and Neuromorphic Device

Author:

Xu Zheng1,Li Yixiang1,Xia Yang2,Shi Chunyan1,Chen Shijie1,Ma Chunlan1,Zhang Cheng1,Li Yang13ORCID

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. School of Chemistry and Life Sciences Suzhou University of Science and Technology Suzhou Jiangsu 215009 China

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

Abstract

AbstractMemristors have recently become powerful competitors toward artificial synapses and neuromorphic computation, arising from their structural and electrical similarity to biological synapses and neurons. From the diversity of materials, numerous organic and inorganic materials have proven to exhibit great potential in the application of memristors. Herein, this work focuses on a class of memristors based on organic frameworks (OFs) materials, and pay attention to the most advanced experimental demonstrations. First, the typical device structures and memristive switching mechanisms are introduced. Second, the latest progress of OFs‐based memristors is comprehensively summarized, including metal‐organic frameworks (MOFs), covalent organic frameworks (COFs), and hydrogen‐bonded organic frameworks (HOFs), as well as their applications in data storage, artificial synapses, and neuromorphic devices. Finally, the future challenges and prospects of OFs‐based memristors are deeply discussed.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Key Laboratory of Synthetic and Biological Colloids, Ministry of Education

Publisher

Wiley

Subject

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

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