Evidence map›Paper›PMID 39464292›Full record

ArticleChemistry of materials : a publication of the American Chemical Society2024

Pivotal Role of Surface Terminations in MXene Thermodynamic Stability.

Ervin Rems, Yong-Jie Hu, Yury Gogotsi, Robert Dominko

Abstract read
In one paragraph

Article in Chemistry of materials : a publication of the American Chemical Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Two-Dimensional MXenes for a Sustainable Future.Journal of the American Chemical Society · 2026
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  12. Terminal group engineering of TiScientific reports · 2025
    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

4 authors.

Ervin RemsNational Institute of Chemistry, Ljubljana 1001, Slovenia.ORCID https://orcid.org/0009-0007-9417-9089
Yong-Jie HuDepartment of Materials Science and Engineering, Drexel University, Philadelphia, Pennsylvania 19104, United States.ORCID https://orcid.org/0000-0003-1500-4015
Yury GogotsiDepartment of Materials Science and Engineering, Drexel University, Philadelphia, Pennsylvania 19104, United States.ORCID https://orcid.org/0000-0001-9423-4032
Robert DominkoNational Institute of Chemistry, Ljubljana 1001, Slovenia.ORCID https://orcid.org/0000-0002-6673-4459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MXenes, i.e., two-dimensional transition metal carbides and nitrides, have been reported as promising materials for various applications, including energy storage, biomedicine, and electronics. The family of MXenes has proliferated, and the chemical space of synthesized MXenes has expanded to 13 transition metals and a dozen elements in surface terminations. The diverse chemistry of MXenes enables systematical tuning of MXene properties to meet the needs of target applications. However, synthesizing new MXene compositions largely relies on a trial-and-error approach. To overcome it, computational predictions of MXene compositions that are thermodynamically stable are crucial to rationalize experimental efforts. Here, we report a comprehensive computational screening for thermodynamically stable MXenes across 29 transition metals and 11 surface terminations. Density functional theory calculations are employed to compute the energy above the convex energy hull as a descriptor of thermodynamic stability. The results are analyzed to explore factors crucial for determining the thermodynamic stability of MXenes, by which the chemistry of surface terminations is found to play a crucial role. The insights on the chemistry of 998 MXene compositions predicted to be (meta)stable are given to systematically guide further research on MXene synthesis and application.

Identifiers

PMID39464292
PMCPMC11500292

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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.