Evidence map›Paper›PMID 41002513›Full record

ArticleGels (Basel, Switzerland)2025

Microscopic Insight into Knudsen and Electromagnetic Effects on Thermal Conductivity of Closed Mesoporous Metal Gels.

Haiyan Yu, Ning Guo, Anqi Chen, Mingdong Li, Haochun Zhang, Mu Du

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 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

6 authors.

Haiyan YuInstitute of Thermal Science and Technology, Shandong University, Jinan 250061, China.
Ning GuoInstitute of Thermal Science and Technology, Shandong University, Jinan 250061, China.
Anqi ChenInstitute of Thermal Science and Technology, Shandong University, Jinan 250061, China.
Mingdong LiInstitute of Thermal Science and Technology, Shandong University, Jinan 250061, China.
Haochun ZhangSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-7712-623X
Mu DuInstitute for Advanced Technology, Shandong University, Jinan 250061, China.ORCID 0000-0002-9614-5508

Funding

National Natural Science Foundation of China No. 52406102Shandong Provincial Natural Science Foundation No. ZR2023QE258
6 · The paper itself

Abstract

Accurate thermal characterization of closed mesoporous metal gels is vital for high-temperature uses, yet microscale effects often ignored in macroscopic models significantly impact heat transfer. This study introduces a new predictive method based on an equivalent Voronoi model, accounting for the Knudsen effect and microscale electromagnetic interactions. Predicted thermal conductivity closely matched experimental results, with an average error of 5.35%. The results demonstrate that thermal conductivity decreases with porosity, increases with temperature, and varies with pore size, with a minimum of 17.47 W/(m·K) observed at ~1 μm. Variations in refractive index, extinction coefficient, and specific surface area exert negligible influence. Conductive heat transfer is suppressed under Knudsen-dominated conditions at small pore sizes. Electromagnetic analysis around the pore size corresponding to minimum conductivity reveals localized surface plasmon resonances and magnetic coupling at the gas-solid interface, which enhance radiative dissipation and further reduce thermal conductivity. Radiation dissipation efficiency increases with decreasing porosity and pore size. This model thus serves as a predictive tool for designing high-performance thermal insulation systems for elevated-temperature applications.

Indexed as

mesoporous metal gelsmicroscale heat transfermicroscale thermal radiationthermal conductivity

Identifiers

PMID41002513
PMCPMC12469782

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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.