Evidence map›Paper›PMID 41737002›Full record

ArticleBeilstein journal of nanotechnology2026

Ferroelectric nanodot reservoir for neuromorphic computing.

Anna Razumnaya, Yuri Tikhonov, Dmitrii Naidenko, Léo Boron, Valerii Vinokur, Igor Lukyanchuk

Abstract read
In one paragraph

Article in Beilstein journal of nanotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anna RazumnayaCondensed Matter Physics Department, Jožef Stefan Institute, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0001-8486-7303
Yuri TikhonovLaboratoire de Physique de la Matière Condensée, Université de Picardie Jules Verne, Amiens, France.
Dmitrii NaidenkoInternational Research Institute for Intelligent Materials, Southern Federal University, Rostov-on-Don, Russia.
Léo BoronLaboratoire de Physique de la Matière Condensée, Université de Picardie Jules Verne, Amiens, France.
Valerii VinokurTerra Quantum AG, St. Gallen, Switzerland.ORCID https://orcid.org/0000-0002-0977-3515
Igor LukyanchukLaboratoire de Physique de la Matière Condensée, Université de Picardie Jules Verne, Amiens, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ferroelectric nanodotsmultilevel logicneuromorphic circuitspolarizationtopological states

Identifiers

PMID41737002
PMCPMC12927483

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.