journal article·2025-04Open access

Phosphorylation Enables Nano‐Graphene for Tunable Artificial Synapses (Adv. Funct. Mater. 16/2025)

Zhenyu Zhang, Yuanduo Qu, Siran Chen, Shanwu Ke, Mengdi Hao, Yongyue Xiao, Shuai Zhang, Ziqiang Cheng, Jiangrong Xiao, Hao Huang, Cong Ye, Paul K. Chu, Xue‐Feng Yu, Jiahong Wang

Advanced Functional Materials· Volume 35· Issue 16

Abstract

Tunable Artificial Synapses In article number 2416794, Hao Huang, Jiahong Wang, and co-workers, inspired by scale armor structure, create phosphorylated graphene nanoflakes to construct a dense resistance-switching layer in memristors. By modifying the coordination between phosphate groups and silver ions, the memristors demonstrate volatile or non-volatile properties, as verified through conductive AFM mapping.
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Research context

OpenAlex topics: Graphene and Nanomaterials Applications · Supramolecular Self-Assembly in Materials · Advanced Materials and Mechanics

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Affiliations

Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 P. R. China

Southern University of Science and Technology Shenzhen 518055 P. R. China

Guangdong Provincial Key Laboratory of Multimodality Non‐Invasive Brain‐Computer Interfaces Shenzhen 518055 P. R. China

University of Chinese Academy of Sciences Beijing 100049 P. R. China

Faculty of Physics and Electronic Science Hubei University Wuhan 430062 P. R. China

Department of Applied Physics East China Jiaotong University Nanchang 330013 P. R. China

School of Chemical and Environmental Engineering Wuhan Polytechnic University Wuhan 430023 P. R. China

Department of Physics Department of Materials Science and Engineering Department of Biomedical Engineering City University of Hong Kong Tat Chee Avenue, Kowloon Hong Kong China

The Key Laboratory of Biomedical Imaging Science and System Chinese Academy of Sciences Shenzhen 518055 P. R. China

Shenzhen University of Advanced Technology Shenzhen 518055 P. R. China

References

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