| Title: | Ferroelectric nanodot reservoir for neuromorphic computing |
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| Authors: | ID Razumnaya, Anna G., Institut "Jožef Stefan" (Author)
ID Tikhonov, Yurii (Author)
ID Naidenko, Dmitrii (Author)
ID Boron, Léo (Author)
ID Vinokur, Valerii (Author)
ID Luk'yanchuk, Igor A. (Author) |
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| Files: |  URL - Source URL, visit https://www.beilstein-journals.org/bjnano/articles/17/24
 PDF - Presentation file, download (2,20 MB)
MD5: 54FA5B14C1A262DA410AEEDB36B3FF65
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  IJS - Jožef Stefan Institute
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| Abstract: | We present a ferroelectric-based data reservoir designed for neuromorphic computing applications. The reservoir consists of an ensemble of nonlinear ferroelectric nanodots capable of storing information through their stable polarization states. These nanodots are confined between electrodes and form a network of parallel connected capacitive elements, which can either be addressed individually or integrated between common conducting plates. By leveraging the intrinsic nonlinearity and memory of ferroelectric polarization switching, the device maps incoming signals into a high-dimensional space of polarization configurations. This physical transformation enables efficient temporal information encoding and provides a rich dynamic representation for subsequent processing in a readout layer of a neuromorphic circuit. |
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| Keywords: | ferroelectric nanodots, topological states, information storage, multilevel logic, neuromorphic circuits, topological states |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 12.08.2025 |
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| Article acceptance date: | 22.12.2025 |
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| Publication date: | 20.02.2026 |
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| Publisher: | Beilstein-Institut zur Förderung der Chemischen Wissenschaften |
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| Year of publishing: | 2026 |
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| Number of pages: | str. 352-364 |
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| Numbering: | Vol. 17 |
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| Source: | Nemčija |
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| PID: | 20.500.12556/DiRROS-28112  |
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| UDC: | 537 |
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| ISSN on article: | 2190-4286 |
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| DOI: | 10.3762/bjnano.17.24 |
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| COBISS.SI-ID: | 271125507 |
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| Copyright: | © 2026 Razumnaya et al. |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 10. 3. 2026;
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| Publication date in DiRROS: | 10.03.2026 |
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| Views: | 68 |
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| Downloads: | 32 |
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