Evidence map›Paper›PMID 42420310›Full record

ArticleNature communications2026

Unveiling surface and subsurface atomic vacancies in MoS

Oscar Gutiérrez-Varela, Aitor Zambudio, Pablo Ares, Julio Gómez-Herrero, Enrico Gnecco, Jaime Colchero, J G Vilhena, Cristina Gómez-Navarro

Abstract read
In one paragraph

Article in Nature communications, 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.

Oscar Gutiérrez-Varela *Instituto de Ciencia de Materiales de Madrid, Consejo Superior de Investigaciones Científicas, Madrid, Spain.ORCID http://orcid.org/0000-0001-7140-4801
Aitor Zambudio *Departamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0002-3193-7934
Pablo AresDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0001-5905-540X
Julio Gómez-HerreroDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0001-8583-8061
Enrico GneccoMarian Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland.
Jaime ColcheroOptics and Nanophysics Research Center, Universidad de Murcia, Murcia, Spain.
J G VilhenaInstituto de Ciencia de Materiales de Madrid, Consejo Superior de Investigaciones Científicas, Madrid, Spain. guilherme.vilhena@csic.es.ORCID http://orcid.org/0000-0001-8338-9119
Cristina Gómez-NavarroDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, Spain. cristina.gomez@uam.es.ORCID http://orcid.org/0000-0002-5609-3387

Funding

Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) PID2022-142331NB-I00
6 · The paper itself

Abstract

Atomic-scale defects govern materials properties, with their influence amplified in low-dimensional systems. Understanding and controlling such defects is therefore essential for both fundamental science and technological applications. However, precise defect identification and localization remain major challenges. Lateral force microscopy (LFM), an atomic force microscopy mode that measures friction forces through the lateral torsion of the cantilever, is an appealing technique for probing surface properties. Nevertheless, it has conventionally been regarded as insensitive to structural features beneath the topmost atomic layer. In this study, we overturn this paradigm by demonstrating that LFM can not only detect but also classify atomic vacancies in MoS

Identifiers

PMID42420310
PMCPMC13478217

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.