Numerical Modeling of Vortex-Based Superconducting Memory Cells: Dynamics and Geometrical Optimization.
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| Title: | Numerical Modeling of Vortex-Based Superconducting Memory Cells: Dynamics and Geometrical Optimization. |
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| Authors: | Skog, Aiste1 (AUTHOR) aisk1747@student.su.se, Hovhannisyan, Razmik A.1 (AUTHOR), Krasnov, Vladimir M.1 (AUTHOR) vladimir.krasnov@fysik.su.se |
| Source: | Nanomaterials (2079-4991). Oct2024, Vol. 14 Issue 20, p1634. 16p. |
| Subjects: | Josephson effect, Digital electronics, Vortex motion, Random access memory, Superconductors |
| Abstract: | The lack of dense random-access memory is one of the main obstacles to the development of digital superconducting computers. It has been suggested that AVRAM cells, based on the storage of a single Abrikosov vortex—the smallest quantized object in superconductors—can enable drastic miniaturization to the nanometer scale. In this work, we present the numerical modeling of such cells using time-dependent Ginzburg–Landau equations. The cell represents a fluxonic quantum dot containing a small superconducting island, an asymmetric notch for the vortex entrance, a guiding track, and a vortex trap. We determine the optimal geometrical parameters for operation at zero magnetic field and the conditions for controllable vortex manipulation by short current pulses. We report ultrafast vortex motion with velocities more than an order of magnitude faster than those expected for macroscopic superconductors. This phenomenon is attributed to strong interactions with the edges of a mesoscopic island, combined with the nonlinear reduction of flux-flow viscosity due to the nonequilibrium effects in the track. Our results show that such cells can be scaled down to sizes comparable to the London penetration depth, ∼100 nm, and can enable ultrafast switching on the picosecond scale with ultralow energy per operation, ∼ 10 − 19 J. [ABSTRACT FROM AUTHOR] |
| Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 180525299 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Numerical Modeling of Vortex-Based Superconducting Memory Cells: Dynamics and Geometrical Optimization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Skog%2C+Aiste%22">Skog, Aiste</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> aisk1747@student.su.se</i><br /><searchLink fieldCode="AR" term="%22Hovhannisyan%2C+Razmik+A%2E%22">Hovhannisyan, Razmik A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Krasnov%2C+Vladimir+M%2E%22">Krasnov, Vladimir M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> vladimir.krasnov@fysik.su.se</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nanomaterials+%282079-4991%29%22">Nanomaterials (2079-4991)</searchLink>. Oct2024, Vol. 14 Issue 20, p1634. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Josephson+effect%22">Josephson effect</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+electronics%22">Digital electronics</searchLink><br /><searchLink fieldCode="DE" term="%22Vortex+motion%22">Vortex motion</searchLink><br /><searchLink fieldCode="DE" term="%22Random+access+memory%22">Random access memory</searchLink><br /><searchLink fieldCode="DE" term="%22Superconductors%22">Superconductors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The lack of dense random-access memory is one of the main obstacles to the development of digital superconducting computers. It has been suggested that AVRAM cells, based on the storage of a single Abrikosov vortex—the smallest quantized object in superconductors—can enable drastic miniaturization to the nanometer scale. In this work, we present the numerical modeling of such cells using time-dependent Ginzburg–Landau equations. The cell represents a fluxonic quantum dot containing a small superconducting island, an asymmetric notch for the vortex entrance, a guiding track, and a vortex trap. We determine the optimal geometrical parameters for operation at zero magnetic field and the conditions for controllable vortex manipulation by short current pulses. We report ultrafast vortex motion with velocities more than an order of magnitude faster than those expected for macroscopic superconductors. This phenomenon is attributed to strong interactions with the edges of a mesoscopic island, combined with the nonlinear reduction of flux-flow viscosity due to the nonequilibrium effects in the track. Our results show that such cells can be scaled down to sizes comparable to the London penetration depth, ∼100 nm, and can enable ultrafast switching on the picosecond scale with ultralow energy per operation, ∼ 10 − 19 J. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/nano14201634 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1634 Subjects: – SubjectFull: Josephson effect Type: general – SubjectFull: Digital electronics Type: general – SubjectFull: Vortex motion Type: general – SubjectFull: Random access memory Type: general – SubjectFull: Superconductors Type: general Titles: – TitleFull: Numerical Modeling of Vortex-Based Superconducting Memory Cells: Dynamics and Geometrical Optimization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Skog, Aiste – PersonEntity: Name: NameFull: Hovhannisyan, Razmik A. – PersonEntity: Name: NameFull: Krasnov, Vladimir M. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20794991 Numbering: – Type: volume Value: 14 – Type: issue Value: 20 Titles: – TitleFull: Nanomaterials (2079-4991) Type: main |
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