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Bong JH, Grebenchuk S, Nikolaev KG, Chee CPT, Yang K, Chen S, Baranov D, Woods CR, Andreeva DV, Novoselov KS. Graphene oxide-DNA/graphene oxide-PDDA sandwiched membranes with neuromorphic function. NANOSCALE HORIZONS 2024; 9:863-872. [PMID: 38533738 DOI: 10.1039/d3nh00570d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
The behavior of polyelectrolytes in confined spaces has direct relevance to the protein mediated ion transport in living organisms. In this paper, we govern lithium chloride transport by the interface provided by polyelectrolytes, polycation, poly(diallyldimethylammonium chloride) (PDDA) and, polyanion, double stranded deoxyribonucleic acid (dsDNA), in confined graphene oxide (GO) membranes. Polyelectrolyte-GO interfaces demonstrate neuromorphic functions that were successfully applied with nanochannel ion interactions contributed, resulting in ion memory effects. Excitatory and inhibitory post-synaptic currents were tuned continuously as the number of pulses applied increased accordingly, increasing decay times. Furthermore, we demonstrated the short-term memory of a trained vs untrained device in computation. On account of its simple and safe production along with its robustness and stability, we anticipate our device to be a low dimensional building block for arrays to embed artificial neural networks in hardware for neuromorphic computing. Additionally, incorporating such devices with sensing and actuating parts for a complete feedback loop produces robotics with its own ability to learn by modifying actuation based on sensing data.
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Affiliation(s)
- Jia Hui Bong
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Sergey Grebenchuk
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Konstantin G Nikolaev
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
| | - Celestine P T Chee
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Kou Yang
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
| | - Siyu Chen
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Denis Baranov
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
| | - Colin R Woods
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Daria V Andreeva
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Kostya S Novoselov
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
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Tan W, Zhang F, Yu K, Qu F. High proton conductivity of the phosphate-linked graphene oxide monolith over a wide range from subzero to moderate temperature. J SOLID STATE CHEM 2023. [DOI: 10.1016/j.jssc.2023.124037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
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Zheng Y, Zhou Z, Jiao M, Wang L, Zhang J, Wu W, Wang J. Lamellar membrane with orderly aligned glycine molecules for efficient proton conduction. J Memb Sci 2023. [DOI: 10.1016/j.memsci.2023.121433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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Xie W, Chen M, Wei S, Huang Z, Li Z. Lignin nanoparticles-intercalated reduced graphene oxide/glass fiber composite membranes for highly efficient oil-in-water emulsions separation in harsh environment. Colloids Surf A Physicochem Eng Asp 2022. [DOI: 10.1016/j.colsurfa.2022.129190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Yang P, Yin Z, Cao L, You X, Fan C, Wang X, Wu H, Jiang Z. Synergism of orderly intrinsic and extrinsic proton-conducting sites in covalent organic framework membranes. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Liu Q, Li X, Zhang S, Wang Z, Chen Y, Zhou S, Wang C, Wu K, Liu J, Mao Q, Jian X. Novel sulfonated N-heterocyclic poly(aryl ether ketone ketone)s with pendant phenyl groups for proton exchange membrane performing enhanced oxidative stability and excellent fuel cell properties. J Memb Sci 2022. [DOI: 10.1016/j.memsci.2021.119926] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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