Evidence map›Paper›PMID 42453053›Full record

ArticleACS nano2026

Electrostatic Doping of 2D Semiconductors Using Charged Dielectric Thin Films.

Xinya Niu, John O'Sullivan, Bin Han, Lixin Liu, Yi Cui, Yan Wang, Manish Chhowalla, Ruy S Bonilla

Abstract read
In one paragraph

Article in ACS nano, 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

8 authors.

Xinya NiuDepartment of Materials, University of Oxford, OxfordOX1 3PH, U.K.ORCID 0000-0001-5085-7000
John O'SullivanDepartment of Materials, University of Oxford, OxfordOX1 3PH, U.K.ORCID 0000-0002-4136-0067
Bin HanUniversity of Strasbourg, CNRS, ISIS, UMR 7006 , StrasbourgF-67000, France.
Lixin LiuDepartment of Materials Science & Metallurgy, University of Cambridge, CambridgeCB3 0FS, U.K.
Yi CuiSuzhou Institute of Nano-tech and Nano-bionics , Chinese Academy of Sciences, Suzhou215123, China.ORCID 0000-0002-9182-9038
Yan WangDepartment of Materials Science & Metallurgy, University of Cambridge, CambridgeCB3 0FS, U.K.ORCID 0009-0008-3376-1697
Manish ChhowallaDepartment of Materials Science & Metallurgy, University of Cambridge, CambridgeCB3 0FS, U.K.ORCID 0000-0002-8183-4044
Ruy S BonillaDepartment of Materials, University of Oxford, OxfordOX1 3PH, U.K.ORCID 0000-0002-5395-5850

Funding

Engineering and Physical Sciences Research Council (EPSRC) EP/V038605/1Engineering and Physical Sciences Research Council (EPSRC) EP/X525777/1John Fell Fund, University of Oxford NALeverhulme Trust PLP- 2022-154
6 · The paper itself

Abstract

Doping two-dimensional (2D) semiconductors without direct chemical or structural modification of the channel remains a central challenge for device integration. Here we demonstrate an electrostatic doping strategy on monolayer MoS2 based on embedding fixed charge in engineered dielectric stacks, enabling carrier modulation in the absence of volatile external bias. By comparing different dielectric architectures, we show that effective electrostatic doping is governed by the defect landscape of the capping dielectrics and their interface with the 2D channel. A self-consistent electrostatic model reveals that interface states control the partitioning of the dielectric embedded charge between carriers trapped in defects or free for conduction in the channel, posing limits to the effectiveness of electrostatic coupling. This work establishes electrostatic doping as a viable strategy for carrier modulation in 2D semiconductors and identifies dielectric defect engineering as central to its implementation.

Indexed as

dielectric defect engineeringelectrostatic dopinginterface statesMoS2two-dimensional semiconductors

Identifiers

PMID42453053
PMCPMC13421956

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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.