Wang, Frank Z. (2024) Can We Still Find an Ideal Memristor? Magnetism, 4 (3). pp. 200-208. ISSN 2673-8724. (doi:10.3390/magnetism4030014) (KAR id:106569)
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Official URL: https://doi.org/10.3390/magnetism4030014 |
Abstract
In 1971, Chua defined an ideal memristor that links magnetic flux φ and electric charge q. In a magnetic lump with a current-carrying conductor, we found that the direct interaction between physical magnetic flux φ and physical electric charge q is memristive by nature in terms of a time-invariant φ-q curve being nonlinear, continuously differentiable and strictly monotonically increasing. Although we succeeded in demonstrating that the “ideal/real/perfect/… memristor” needs magnetism, the structure still suffers from two serious limitations: 1. a parasitic “inductor” effect and 2. bistability and dynamic sweep of a continuous resistance range. Then, we discussed how to overcome these two limitations to make a fully functioning ideal memristor with multiple or an infinite number of stable states and no parasitic inductance. We then gave a number of innovations to the current memristor structure, such as an “open” structure, nanoscale size, magnetic materials with cubic anisotropy (or even isotropy) and sequential switching of the magnetic domains. Contrary to the conjecture that “an ideal memristor may not exist or may be a purely mathematical concept”, we remain optimistic that an ideal memristor will be discovered in nature or will be made in the laboratory. Our finding of the memristive flux–charge interaction may advance the development and application of the memristor technology.
Item Type: | Article |
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DOI/Identification number: | 10.3390/magnetism4030014 |
Uncontrolled keywords: | magnetism; magnetic lump; ideal memristor; neuromorphic computing; brain-inspired computer |
Subjects: |
Q Science > QC Physics > QC173.45 Condensed Matter Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Funders: | University of Kent (https://ror.org/00xkeyj56) |
Depositing User: | Frank Wang |
Date Deposited: | 17 Jul 2024 04:26 UTC |
Last Modified: | 25 Jul 2024 15:12 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/106569 (The current URI for this page, for reference purposes) |
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