Evidence map›Paper›PMID 40047246›Full record

ArticleACS nano2025

Synthetic Band Structure Engineering of Graphene Using Block Copolymer-Templated Dielectric Superlattices.

Moeid Jamalzadeh, Zihan Zhang, Zhujun Huang, Miguel Manzo-Perez, Kim Kisslinger, Takashi Taniguchi, Kenji Watanabe, Pilkyung Moon, Gregory S Doerk, Davood Shahrjerdi

Abstract read
In one paragraph

Article in ACS nano, 2025. 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

10 authors.

Moeid JamalzadehElectrical and Computer Engineering, New York University, Brooklyn, New York 11201, United States.
Zihan ZhangElectrical and Computer Engineering, New York University, Brooklyn, New York 11201, United States.
Zhujun HuangElectrical and Computer Engineering, New York University, Brooklyn, New York 11201, United States.
Miguel Manzo-PerezElectrical and Computer Engineering, New York University, Brooklyn, New York 11201, United States.
Kim KisslingerCenter for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York 11973, United States.
Takashi TaniguchiResearch Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan.ORCID 0000-0002-1467-3105
Kenji WatanabeResearch Center for Electronic and Optical Materials, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan.ORCID 0000-0003-3701-8119
Pilkyung MoonArts and Sciences, NYU Shanghai, Shanghai 200124, China.ORCID 0000-0003-3994-4255
Gregory S DoerkCenter for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York 11973, United States.ORCID 0000-0002-2933-2047
Davood ShahrjerdiElectrical and Computer Engineering, New York University, Brooklyn, New York 11201, United States.ORCID 0000-0002-5955-1830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineering the electronic band structure of two-dimensional (2D) materials by imposing spatially periodic superlattice (SL) potentials opens a pathway to unconventional electronics. Nanopatterning the gate electrode or surface dielectric near 2D crystals provides a powerful strategy for realizing electrostatically tunable "remote" SLs with flexibility in lattice design. Here, we demonstrate the effectiveness of block copolymer (BCP)-templated dielectric nanopatterns for fabricating etch-free high-grade metal oxide SLs. Alumina (AlO

Indexed as

block copolymerdielectric nanopatternsmetal oxide superlatticesnanopatterningsuperlattice potentials

Identifiers

PMID40047246
PMCPMC11924326

What OpenQuestion holds

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LicenceCC BY
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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.