Evidence map›Paper›PMID 41880490›Full record

ArticleScience advances2026

Altered morphology and diffusivity of water confined in MXenes: Machine learning-accelerated computations combined with experiments.

Jiawei Tang, Weiwei Sun, Chaofan Chen, Lars Bannenberg, Xuehang Wang, Tingwei Zhu, Litao Sun, Jinlan Wang, Guobing Ying, Yu Xie and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 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
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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

16 authors.

Jiawei TangSchool of Electronic Science and Engineering, Southeast University, Nanjing 210096, China.ORCID 0000-0003-2112-5710
Weiwei SunKey Laboratory of Quantum Materials and Devices of Ministry of Education, School of Physics, Southeast University, Nanjing 211189, China.ORCID 0000-0002-5535-0660
Chaofan ChenDepartment of Radiation Science and Technology, Faculty of Applied Sciences, Delft University of Technology, Delft, 2629JB, Netherlands.ORCID 0009-0003-1508-514X
Lars BannenbergDepartment of Radiation Science and Technology, Faculty of Applied Sciences, Delft University of Technology, Delft, 2629JB, Netherlands.ORCID 0000-0001-8150-3694
Xuehang WangDepartment of Radiation Science and Technology, Faculty of Applied Sciences, Delft University of Technology, Delft, 2629JB, Netherlands.ORCID 0000-0002-8984-6162
Tingwei ZhuSchool of Electronic Science and Engineering, Southeast University, Nanjing 210096, China.
Litao SunSchool of Electronic Science and Engineering, Southeast University, Nanjing 210096, China.ORCID 0000-0002-2750-5004
Jinlan WangKey Laboratory of Quantum Materials and Devices of Ministry of Education, School of Physics, Southeast University, Nanjing 211189, China.ORCID 0000-0002-4529-874X
Guobing YingSchool of Materials Science and Engineering, Southeast University, Nanjing 211189, China.ORCID 0000-0003-1762-0540
Yu XieKey Laboratory of Material Simulation Methods and Software of Ministry of Education, College of Physics, Jilin University, Changchun 130012, China.ORCID 0000-0002-7782-5428
Naresh C OstiNeutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0002-0213-2299
Alexander I KolesnikovNeutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0003-1940-4649
Eugene MamontovNeutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0002-5684-2675
Madhusudan TyagiNIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.ORCID 0000-0002-7378-0701
Jingsong HuangCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0001-8993-2506
Paul R C KentComputational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0001-5539-4017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoconfined water exhibits unique properties compared to bulk water due to limited quantities, frustrated hydrogen bonding, and surface interactions, which are fundamental for energy storage and transport applications. We integrate machine learning-accelerated ab initio molecular dynamics with x-ray diffraction (XRD) and inelastic neutron scattering (INS) to systematically analyze the thermodynamic and dynamic behavior of water confined between functionalized (-F, -O, and -OH) two-dimensional (2D) Ti

Identifiers

PMID41880490
PMCPMC13015896

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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.