Evidence map›Paper›PMID 40278455›Full record

ReviewNanomaterials (Basel, Switzerland)2025

Electric-Field-Induced Metal-Insulator Transition for Low-Power and Ultrafast Nanoelectronics.

Mircea Dragoman, Daniela Dragoman, Mircea Modreanu, Silviu Vulpe, Cosmin Romanitan, Martino Aldrigo, Adrian Dinescu

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Mircea DragomanNational Institute for Research and Development in Microtechnologies, Str. Erou Iancu Nicolae 126A, 077190 Voluntari, Romania.ORCID 0000-0001-6886-5295
Daniela DragomanPhysics Faculty, University of Bucharest, PO Box MG-11, 077125 Bucharest, Romania.ORCID 0000-0003-4241-0000
Mircea ModreanuTyndall National Institute, University College Cork, Lee Maltings, Dyke Parade, T12 R5CP Cork, Ireland.ORCID 0000-0003-0334-2439
Silviu VulpeNational Institute for Research and Development in Microtechnologies, Str. Erou Iancu Nicolae 126A, 077190 Voluntari, Romania.ORCID 0000-0002-3269-1382
Cosmin RomanitanNational Institute for Research and Development in Microtechnologies, Str. Erou Iancu Nicolae 126A, 077190 Voluntari, Romania.ORCID 0000-0002-5615-6624
Martino AldrigoNational Institute for Research and Development in Microtechnologies, Str. Erou Iancu Nicolae 126A, 077190 Voluntari, Romania.ORCID 0000-0003-2257-1966
Adrian DinescuNational Institute for Research and Development in Microtechnologies, Str. Erou Iancu Nicolae 126A, 077190 Voluntari, Romania.

Funding

European Regional Development Fund under the Program for Intelligent Growth, Digitalization, and Financial Instruments project "National Platform for Semiconductor Technologies", contract no. G 2024-85828/390008/27.11.2024, SMIS code 304244
6 · The paper itself

Abstract

We present here a comprehensive review of various classes of electric-field-induced reversible Mott metal-insulator materials, which have many applications in ultrafast switches, reconfigurable high-frequency devices up to THz, and photonics. Various types of Mott transistors are analyzed, and their applications are discussed. This paper introduces new materials that demonstrate the Mott transition at very low DC voltage levels, induced by an external electric field. The final section of the paper examines ferroelectric Mott transistors and these innovative ferroelectric Mott materials.

Indexed as

ferroelectricsMott materialstransistors

Identifiers

PMID40278455
PMCPMC12029378

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.