Evidence map›Paper›PMID 41998007›Full record

ArticleScientific data2026

N-doped MXenes for tribological applications: A high-throughput DFT dataset.

Mingyang Xu, Yu Gao, Wenhao He, Zhongrong Geng, Qian Meng, Zhibin Lu

Abstract read
In one paragraph

Article in Scientific data, 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

6 authors.

Mingyang XuSchool of Materials Science and Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.
Yu GaoState Key Laboratory of Solid Lubric ation, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China. gaoyu@licp.cas.cn.
Wenhao HeState Key Laboratory of Solid Lubric ation, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China.
Zhongrong GengSchool of Materials Science and Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China. gzrong-1977@163.com.
Qian MengSchool of Materials Science and Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.
Zhibin LuState Key Laboratory of Solid Lubric ation, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China.

Funding

Chinese Academy of Sciences XDB 0470203Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences 12302128Science and Technology Department of Gansu Province 22YF7GA138
6 · The paper itself

Abstract

MXenes have emerged as a prominent class of two-dimensional materials in the field of solid lubrication, and nitrogen doping has recently been identified as an effective strategy for tailoring their properties. Herein, we present a comprehensive dataset of 210 pristine and N-doped MXene structures with detailed electronic, thermodynamic, and tribological properties obtained through density functional theory (DFT). Selected properties are visualized to illustrate doping effects. This dataset not only provides fundamental insights into the interfacial behavior of MXenes but also establishes a foundational benchmark for the machine-learning-driven design of reliable, low-friction N-doped MXene coatings.

Identifiers

PMID41998007
PMCPMC13272584

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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.