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Evolution of the conductive filament system in HfO2-based memristors observed by direct atomic-scale imaging
Open accessAbstract
The resistive switching effect in memristors typically stems from the formation and rupture of localized conductive filament paths, and HfO 2 has been accepted as one of the most promising resistive switching materials. However, the dynamic changes in the resistive switching process, including the composition and structure of conductive filaments, and especially the evolution of conductive filament surroundings, remain controversial in HfO 2-based memristors. Here, the conductive filament system in the amorphous HfO 2-based memristors with various top electrodes is revealed to be with a quasi-core-shell structure consisting of metallic hexagonal-Hf 6 O and its crystalline surroundings (monoclinic or tetragonal HfO x). The phase of the HfO x shell varies with the oxygen reservation capability of the top electrode. According to extensive high-resolution transmission electron microscopy observations and ab initio calculations, the phase transition of the conductive filament shell between monoclinic and tetragonal HfO 2 is proposed to depend on the comprehensive effects of Joule heat from the conductive filament current and the concentration of oxygen vacancies. The quasi-core-shell conductive filament system with an intrinsic barrier, which prohibits conductive filament oxidation, ensures the extreme scalability of resistive switching memristors. This study renovates the understanding of the conductive filament evolution in HfO 2-based memristors and provides potential inspirations to improve oxide memristors for nonvolatile storage-class memory applications.
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“Although our device is not ideal yet, the estimated accuracy is comparable to other hardware‐based simulation performances ranging from 70% to 94%.[ 41 , 42 , 43 , 44 , 45 ]”
From Retention Secured Nonlinear and Self-Rectifying Analog Charge Trap Memristor for Energy-Efficient Neuromorphic Hardware (2023) · cites this paper as [43]
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Metadata
- Authors
- Zhang, Y., Mao, G.-Q., Zhao, X., Li, Y., Zhang, M., Wu, Z., Wu, W., Sun, H., Guo, Y., Wang, L., Zhang, X., Liu, Q., Lv, H., Xue, K.-H., Xu, G., Miao, X., Long, S., & Liu, M.
- Affiliations
- University of Science and Technology of China (CN)
- Huazhong University of Science and Technology (CN)
- Chinese Academy of Sciences (CN)
- Beijing University of Technology (CN)
- Corresponding author
- Zhao, Xiaolong
- Xue, Kan-Hao
- Long, Shibing
- Liu, Ming
- ORCID
- Venue
- Nature Communications
- Published
- 2021-12-13
- Volume
- 12
- Issue
- 1
- Pages
- 7232-7232
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC8668918
- OpenAlex
- W4200157328
- Cited by
- 300
- References
- 75
- Citations by year
- 2026: 47 · 2025: 72 · 2024: 70 · 2023: 85 · 2022: 26
- FWCI
- 13.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (61925110, 61821091, 51961145110)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Ferroelectric and Negative Capacitance Devices
- Physical Sciences › Materials Science › Materials Chemistry › Phase-change materials and chalcogenides
- Keywords
- conductive filaments, resistive switching, amorphous HfO2, core-shell structure, tetragonal to monoclinic phase transformation, oxygen vacancies, Joule heating, non-volatile memory
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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