Evidence map›Paper›PMID 40337238›Full record

ArticleRSC advances2025

Modeling the melting temperature of metallic nanocrystals: dependencies on size, dimensionality, and composition.

Yanli Ma, Ming Li, Haiming Lu

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Yanli MaAnhui Province Industrial Generic Technology Research Center for Alumics Materials, Huaibei Normal University Huaibei 235000 China liming2010@chnu.edu.cn.
Ming LiAnhui Province Industrial Generic Technology Research Center for Alumics Materials, Huaibei Normal University Huaibei 235000 China liming2010@chnu.edu.cn.ORCID https://orcid.org/0000-0003-1450-4106
Haiming LuNational Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, College of Engineering and Applied Sciences, Nanjing University Nanjing Jiangsu 210093 China haimlu@nju.edu.cn.ORCID https://orcid.org/0000-0001-7293-1806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The melting temperature is an extremely important property in describing the stability of metallic nanocrystals and can be modulated by the size, dimensionality, and composition. In this study, a new model was developed to comprehend these effects on the melting temperature by considering the surface stress and the size-dependent surface energy. The developed model predicts a decrease in the melting temperature with decreasing size or dimensionality. Moreover, for nanoalloys with identical size and dimensionality, the model suggests that the melting temperature decreases as the component with lower surface energy increases. Importantly, our model's predictions are consistent with experimental and simulation data, validating its accuracy and universality.

Identifiers

PMID40337238
PMCPMC12056730

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.