Evidence map›Paper›PMID 42196057›Full record

ArticleGels (Basel, Switzerland)2026

Adsorption Mechanism of Nitrogen in CNT-Reinforced Silica Aerogels: A Molecular Dynamics Insight.

Wenping Yue, Yiming Song, Jingjing He, Yi Yang, Kaiqi Wei, Yuxuan Liu, Jia Bai

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 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

7 authors.

Wenping YueShaanxi Key Laboratory of Safety and Durability of Concrete Structures, Mountains and Rivers Institute of Engineering Science, Xijing University, Xi'an 710123, China.
Yiming SongSchool of Resources Engineering, Xi'an University of Architecture and Technology, No. 13 Yanta Road, Xi'an 710055, China.
Jingjing HePower China Northwest Engineering Corporation Ltd., Xi'an 710065, China.
Yi YangShaanxi Key Laboratory of Safety and Durability of Concrete Structures, Mountains and Rivers Institute of Engineering Science, Xijing University, Xi'an 710123, China.
Kaiqi WeiShaanxi Key Laboratory of Safety and Durability of Concrete Structures, Mountains and Rivers Institute of Engineering Science, Xijing University, Xi'an 710123, China.
Yuxuan LiuShaanxi Key Laboratory of Safety and Durability of Concrete Structures, Mountains and Rivers Institute of Engineering Science, Xijing University, Xi'an 710123, China.
Jia BaiCollege of Military Basic Education, Engineering University of PAP, Xi'an 710086, China.

Funding

Education Department of Shaanxi Province 24EJ027National Natural Science Foundation of China 52409177
6 · The paper itself

Abstract

Silica aerogels are ideal candidates for gas adsorption due to their exceptional porosity and high specific surface area; however, the inherent mechanical fragility of their skeletal framework significantly compromises their operational stability in engineering applications. While the incorporation of carbon nanomaterials effectively enhances the mechanical robustness of aerogels, the specific microscopic mechanisms by which filler microstructure and surface chemistry dictate gas adsorption behavior remain insufficiently understood. In this study, we employed all-atom molecular dynamics (MD) simulations to develop a model of silicon-based porous composites synergistically doped with carbon nanotubes (CNTs) and graphene. The adsorption and diffusion characteristics of nitrogen (N

Indexed as

carbon nanotubesmolecular dynamics simulationnitrogen adsorptionporous compositessilica aerogel

Identifiers

PMID42196057
PMCPMC13205512

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.