Towards Ultra Scalability of Non-Volatile Magnetic Tunnel Junctions with a 3D Storage Layer
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
[2608.20850] Towards Ultra Scalability of Non-Volatile Magnetic Tunnel Junctions with a 3D Storage Layer Skip to main content Search Submit Donate Log in Condensed Matter > Mesoscale and Nanoscale Physics arXiv:2608.20850 (cond-mat) [Submitted on 21 Aug 2026 ( v1 ), last revised 27 Aug 2026 (this version, v2)] Title: Towards Ultra Scalability of Non-Volatile Magnetic Tunnel Junctions with a 3D Storage Layer Authors: Nuno Caçoilo , Shunsuke Fukami , Olivier Fruchart , Ioan-Lucian Prejbeanu View PDF HTML (experimental) Abstract: The perpendicular Spin Transfer Torque Magnetic Random Access Memory is one of the most promising emerging non-volatile memory technologies, based on ultra-thin magnetic tunnel junctions. However, as these devices are limited by their thermal stability factor at technological nodes smaller than 20 nm, their scalability is compromised. A possible solution to this limitation relies on taking advantage of the shape anisotropy, by increasing substantially the thickness of the storage layer. Thanks to the combination of a vertical aspect-ratio and enhanced volume, high thermal stability can be maintained at sub-10 nm nodes. Here, we present the technological advancements and understanding of the magnetisation reversal that led to faster switching speeds at reduced switching voltage, providing a viable approach for dense arrays of ultra-small magnetic tunnel junctions. Comments: 30 pages, 18 figures, Review paper Subjects: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) ; Materials Science (cond-mat.mtrl-sci); Applied Physics (physics.app-ph) Cite as: arXiv:2608.20850 [cond-mat.mes-hall] (or arXiv:2608.20850v2 [cond-mat.mes-hall] for this version) https://doi.org/10.48550/arXiv.2608.20850 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Nuno Caçoilo [ view email ] [v1] Fri, 21 Aug 2026 08:12:24 UTC (14,298 KB) [v2] Thu, 27 Aug 2026 04:19:12 UTC (13,709 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: cond-mat.mes-hall < prev | next > new | recent | 2026-08 Change to browse by: cond-mat cond-mat.mtrl-sci physics physics.app-ph References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) IArxiv recommender toggle IArxiv Recommender ( What is IArxiv? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from (opens in new tab) (opens in new tab) (opens in new tab)
Related documents
- Towards Ultra Scalability of Non-Volatile Magnetic Tunnel Junctions with a 3D Storage Layer#677757
- Magnetoresistance and dipole shift of ultrasmall magnetic tunnel junctions characterized by conducting atomic force microscopy#640094
- Modeling of flopping-mode spin qubits: beyond the two-site model#820434
- Mitigating Capacitive Loading Enables Fast Two-Qubit Gates in Highly Connected Fluxonium Quantum Processors#926132
- Tunable Enhancement of Magnetization Dynamics by Crystal Cut at Interface Exchange Coupled $α$-Fe$_2$O$_3$/NiFe Heterostructures#141683
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive