Evidence map›Paper›PMID 40640257›Full record

ArticleScientific reports2025

Molecular dynamics-based explanation of the reinforcement geometry effects on CNT/graphene-reinforced Al

Subrata Barman, Kritesh Kumar Gupta, Sudip Dey

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Subrata BarmanDepartment of Mechanical Engineering, National Institute of Technology Silchar, Silchar, India. subrata21_rs@mech.nits.ac.in.
Kritesh Kumar GuptaAmrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India. g_kriteshkumar@cb.amrita.edu.
Sudip DeyDepartment of Mechanical Engineering, National Institute of Technology Silchar, Silchar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designing lightweight structural materials often drives the research community to explore high-strength nanomaterials as reinforcement agents. These reinforcements hold significant potential to enhance functional properties while substantially reducing weight. However, despite their promising role in material design, the underlying mechanisms behind their exceptional behaviour remain insufficiently understood. Motivated by this, the present study aims to elucidate the underlying mechanism that contributes to the improved mechanical performance of graphene (Gr)/carbon nanotube (CNT)-reinforced Al

Indexed as

Al0.3CoCrFeNi high-entropy alloy (HEA)Atomistic simulationCarbon nanotube (CNT)Deformation mechanismGraphene (Gr)Nanocomposite

Identifiers

PMID40640257
PMCPMC12246467

What OpenQuestion holds

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Registered trials

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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.