Evidence map›Paper›PMID 41231073›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2026

Ferroelectrics Hybrids: Harnessing Multifunctionality of 2D Semiconductors in the Post-Moore Era.

Haixin Qiu, Xiaoshi Qian, Dahong Qian, Paolo Samorì

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Haixin QiuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Xiaoshi QianState Key Laboratory of Mechanical System and Vibration, Interdisciplinary Research Center, Institute of Refrigeration and Cryogenics, and MOE Key Laboratory for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Dahong QianSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Paolo SamorìUniversité de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, Strasbourg, 67000, France.ORCID https://orcid.org/0000-0001-6256-8281

Funding

Agence Nationale de la Recherche through the Interdisciplinary Thematic Institute SysChemChina National Postdoctoral Program for Innovative Talent BX20240220China Postdoctoral Science Foundation 2024M751968European Commission through 2D-Printable Project GA-101135196European Commission through the ERC GA-833707IdEx Unistra ANR-10-IDEX-0002National Key R&D Program of China 2020YFA0711500National Natural Science Foundation of China 52076127National Natural Science Foundation of China 52406022National Natural Science Foundation of China 5247030214National Natural Science Foundation of China T2342010National Natural Science Foundation of China T2488302Natural Science Foundation of Shanghai 22JC1401800Natural Science Foundation of Shanghai 22Z510204033Natural Science Foundation of Shanghai 24Z511405472NSFC Young Student Basic Research Program 24Z033403036Postdoctoral Fellowship Program of CPSF GZB20240422Postdoctoral Fellowship Program of CPSF GZC20241007Shanghai Jiao Tong University 19X160010008Shanghai Jiao Tong University SiYuan Scholar Program, Shanghai Pujiang Program 22PJ1408400State Key Laboratory of Mechanical System and Vibration MSVZD202211State Key Laboratory of Mechanical System and Vibration MSVZD202301State Key Laboratory of Mechanical System and Vibration MSVZD202401
6 · The paper itself

Abstract

The rise of big data in today's computing has highlighted the significant limitations of von Neumann architectures for data storage and processing. Concurrently, the downscaling of silicon-based transistors while retaining low power efficiency and high system reliability has become increasingly challenging. By adopting a post-Moore approach, this Review proposes the use of hybrid systems comprising ferroelectric materials, 2D semiconductors, and functional molecular switches to respond to current demands for simultaneous high integration density and multifunctional performance. The representative applications of 2D ferroelectric field-effect transistors (FeFETs) are reviewed and advances in shrinking ferroelectric domain walls at the (sub)nanometer scale are highlighted. The incorporation of molecular switches to enable multimodal device programmability is explored and the implementation of monolithic 3D (M3D) integration to boost chip-level density and system functionality is discussed. Finally, a forward-looking vision is presented for future transistors built upon novel ferroelectric platforms. Taken together, this triple-hybrid paradigm offers a compelling path to transcend Moore's law, paving the way for next-generation electronics with unprecedented functions and performance.

Indexed as

2D semiconductorsferroelectric materialsfield‐effect transistorsmolecular switches

Identifiers

PMID41231073
PMCPMC12862724

What OpenQuestion holds

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Registered trials

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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.