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A capacitance-coupled Ga2O3 memristor
AIP Advances, Volume: 15, Issue: 4
Swansea University Authors:
Lijie Li , Yaonan Hou
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DOI (Published version): 10.1063/5.0260023
Abstract
Memristors are regarded as a key electronic component for non-von Neumann computing, such as neuromorphic networks. Hereby, we report a capacitance-coupled memristor (C-memristor) configured with ITO/Ga2O3/ITO coplanar interdigital structures. Depending on the voltage sweeping directions, the C-memr...
Published in: | AIP Advances |
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ISSN: | 2158-3226 |
Published: |
AIP Publishing
2025
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa69144 |
Abstract: |
Memristors are regarded as a key electronic component for non-von Neumann computing, such as neuromorphic networks. Hereby, we report a capacitance-coupled memristor (C-memristor) configured with ITO/Ga2O3/ITO coplanar interdigital structures. Depending on the voltage sweeping directions, the C-memristor exhibits a clear current switching with different polarities, offering an easy-to-readout electronic status. Due to the coupled capacitance, the difference between the currents in forward and reverse scanning strongly depends on the voltage sweeping speed, which was quantitatively studied with an equivalent circuit that we established. A device model based on filamentary conductive paths formed by the electrically driven oxygen vacancies was utilized to explain the working mechanism of the C-memristor, which aligns well with the observed results. Unlike previously reported Ga2O3 memristors that rely only on the status of the resistance, our device also exhibits capacitance variation, offering an additional degree of freedom (e.g., the power nodes) for constructing a neural network. |
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College: |
Faculty of Science and Engineering |
Funders: |
This work was supported by the EPSRC under Grant No. EP/T019085/1, Royal Society under Grant No. IEC\NSFC\242145, and SACEME Seedcorn funding from Swansea University. H.L. and Z.M. thank the National Natural Science Foundation of China for the support under Grant Nos. 12174275 and 62174113. |
Issue: |
4 |