Evidence map›Paper›PMID 41178206›Full record

ArticleSmall methods2025

Tartrate-Assisted Ionic Layer Epitaxy for General Synthesis of 2D Nanostructures.

Ziyi Zhang, Derui Wang, Maciej P Polak, Corey Carlos, Yutao Dong, Dane Morgan, Xudong Wang

Abstract read
In one paragraph

Article in Small methods, 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. Article
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.

Ziyi ZhangDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.ORCID https://orcid.org/0000-0001-9102-8292
Derui WangDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.ORCID https://orcid.org/0009-0009-6346-704X
Maciej P PolakDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.ORCID https://orcid.org/0000-0001-7198-7779
Corey CarlosDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.ORCID https://orcid.org/0000-0002-9398-2554
Yutao DongDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.ORCID https://orcid.org/0000-0003-3582-087X
Dane MorganDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.ORCID https://orcid.org/0000-0002-4911-0046
Xudong WangDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.ORCID https://orcid.org/0000-0002-9762-6792

Funding

National Natural Science Foundation of China DMR-2114931National Science Foundation Cyberinfrastructure for Sustained Scientific Innovation CSSI-1931298
6 · The paper itself

Abstract

The synthesis of ultrathin 2D nanomaterials with regular shapes and uniform thickness remains a challenge despite their intriguing properties. In this paper, a facile and generic strategy for the growth of versatile ultrathin nanosheets using tartrate-assisted ionic layer epitaxy (ILE) at the air-water interface is presented. Metal ions, stabilized by tartrate coordination, nucleate within the electrical double layer beneath a self-assembled monolayer. This method facilitates the growth of micro-sized hexagonal to wafer-scale continuous nanosheets from 26 metal elements, including single and multi-element compositions, with high precursor utilization via solution recycling. Furthermore, recognizing the need for efficient quality assessment, the successful application of a multimodal Large Language Model (LLM) for rapid and consistent evaluation of nanosheet quality from microscopy images, achieving performance comparable to human experts is demonstrated. This combined approach demonstrates a sustainable and high-throughput path for both 2D nanomaterial synthesis and automated quality assessment, accelerating materials discovery.

Indexed as

2D materialshigh‐throughput synthesisionic layer epitaxylarge language model

Identifiers

PMID41178206
PMCPMC12716201

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.