Evidence map›Paper›PMID 41710328›Full record

ArticleACS applied nano materials2026

Structure and Dynamics of Water Confined in Transition Metal Carbide MXenes: Implications for Electrochemical Applications.

Kaitlyn Prenger, Alexander I Kolesnikov, Naresh C Osti, Eugene Mamontov, Jong K Keum, Kenneth C Littrell, Michael Naguib

Abstract read
In one paragraph

Article in ACS applied nano materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

Kaitlyn PrengerDepartment of Physics and Engineering Physics, Tulane University, New Orleans, Louisiana 70118, United States.ORCID https://orcid.org/0000-0001-5654-2966
Alexander I KolesnikovNeutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6473, United States.ORCID https://orcid.org/0000-0003-1940-4649
Naresh C OstiNeutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6473, United States.ORCID https://orcid.org/0000-0002-0213-2299
Eugene MamontovNeutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6473, United States.ORCID https://orcid.org/0000-0002-5684-2675
Jong K KeumNeutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6473, United States.ORCID https://orcid.org/0000-0002-5529-1373
Kenneth C LittrellNeutron Technologies Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.ORCID https://orcid.org/0000-0003-2308-8618
Michael NaguibDepartment of Physics and Engineering Physics, Tulane University, New Orleans, Louisiana 70118, United States.ORCID https://orcid.org/0000-0002-4952-9023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two-dimensional transition metal carbides and nitrides (MXenes) are an important family of electrochemically active 2D materials. MXenes combine high conductivity with hydrophilicity, making them attractive materials for many applications, including electrochemical energy storage, sensing, desalination, and others. In order to better understand the role of structure on MXene properties, here, we investigated the vibrational properties and diffusion of water in MXenes with differing layer thicknesses and transition metal compositions using inelastic, quasi-elastic, and small-angle neutron scattering. We found that all of the Mo-containing MXenes studied here exhibited comparable vibrational dynamics and diffusion coefficients to each other and to previously studied Ti

Indexed as

confined waterMXenesneutron scatteringtwo-dimensional carbideswater diffusion

Identifiers

PMID41710328
PMCPMC12910551

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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.