Field-Effect Transistors from Artificial Charged Domain Walls in Stacked Van der Waals Ferroelectric α-In

Shahriar Muhammad Nahid, Haiyue Dong, Gillian M Nolan, SungWoo Nam, Nadya Mason, Pinshane Y Huang, Arend M van der Zande

Abstract read

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In one paragraph

Article 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. 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

7 authors.

Shahriar Muhammad NahidDepartment of Mechanical Science and Engineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, USA.ORCID https://orcid.org/0000-0002-0049-6152

Haiyue DongDepartment of Physics, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, USA.ORCID https://orcid.org/0009-0002-6854-3397

Gillian M NolanDepartment of Materials Science and Engineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, USA.ORCID https://orcid.org/0000-0003-2356-9075

SungWoo NamDepartment of Mechanical and Aerospace Engineering, Department of Materials Science and Engineering, University of California, Irvine, Irvine, USA.ORCID https://orcid.org/0000-0002-9719-7203

Nadya MasonPritzker School of Molecular Engineering, University of Chicago, Chicago, USA.ORCID https://orcid.org/0000-0002-7740-6645

Pinshane Y HuangDepartment of Materials Science and Engineering, Materials Research Laboratory, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, USA.ORCID https://orcid.org/0000-0002-1095-1833

Arend M van der ZandeDepartment of Mechanical Science and Engineering, Department of Materials Science and Engineering, Materials Research Laboratory, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, USA.ORCID https://orcid.org/0000-0001-5104-9646

Funding

NSF DMR-2309037

6 · The paper itself

Abstract

Ferroelectric charged domain walls (CDWs) offer emergent electronic states that can serve as functional elements in high-density nonvolatile memory and neuromorphic computing. Yet, poor conductivity, structural instability, and lack of deterministic control limit their practical use. Moreover, the CDWs are typically out-of-plane and buried interfaces, which prohibits electrical access and prevents gate control of their carrier density. This work demonstrates the fabrication of artificial in-plane CDWs by stacking oppositely polarized flakes of van der Waals (vdW) ferroelectric

Indexed as

charged domain wallselectrical transportheterostructurevan der waals ferroelectric

Identifiers

PMID41614586

DOI10.1002/adma.202523096

PMCPMC13054130

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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.