Evidence map›Paper›PMID 39935458›Full record

ArticleiScience2025

Feature analysis aided design of lightweight heat sink from network structures.

Tianlin Luo, Changliang Zhu, Baowen Li, Xiangying Shen, Guimei Zhu

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

5 authors.

Tianlin LuoDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, P.R. China.
Changliang ZhuDepartment of Physics, Southern University of Science and Technology, Shenzhen, P.R. China.
Baowen LiDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, P.R. China.
Xiangying ShenDepartment of Physics, Southern University of Science and Technology, Shenzhen, P.R. China.
Guimei ZhuSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of electronic devices has revolutionized engineering applications and fundamentally transformed society. However, their lifespan is significantly impacted by operational temperatures, as excess heat can elevate localized temperatures (hot spot) and damage components. Efficient heat dissipation through heat sinks is therefore crucial. In this research, we optimized intricate network structures for designing heat sink fins. These novel configurations provide thermal dissipation capabilities equivalent to conventional designs while substantially reducing weight. We utilized 3D printing to manufacture these designs and confirmed their effectiveness through experimental validation. The optimized network-based heat sink designs exhibit a weight reduction of approximately 50% while maintaining cooling efficiency comparable to commercially available models. Additionally, we introduced the "effective heat transfer coefficient

Indexed as

Computational materials scienceHeat transferMaterials scienceThermal engineering

Identifiers

PMID39935458
PMCPMC11810695

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.