Evidence map›Paper›PMID 41957007›Full record

ArticleNature communications2026

Convection enhanced phase change composite fibers for advanced thermal management.

Yu Du, Siyuan Ding, Omar Mma Moustafa, Yueni Zhong, Fangzheng Zhen, Ming Yong, Yinghui Wu, Zihan Chen, Weiren Fan, Qijun Zheng and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

18 authors.

Yu Du *ARC Research Hub for Smart Process Design and Control, Department of Chemical Engineering, Monash University, Clayton, VIC, Australia.
Siyuan Ding *Centre for Simulation and Modelling of Particulate Systems, School of Energy and Environment, Southeast University, Nanjing, China.ORCID http://orcid.org/0000-0002-9387-5759
Omar Mma MoustafaDepartment of Mechanical Engineering, School of Engineering, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia.ORCID http://orcid.org/0009-0006-2430-6700
Yueni ZhongARC Research Hub for Smart Process Design and Control, Department of Chemical Engineering, Monash University, Clayton, VIC, Australia.
Fangzheng ZhenARC Research Hub for Smart Process Design and Control, Department of Chemical Engineering, Monash University, Clayton, VIC, Australia.
Ming YongUQ Dow Centre for Sustainable Engineering Innovation, School of Chemical Engineering, The University of Queensland, St Lucia, QLD, Australia.ORCID http://orcid.org/0009-0003-8682-507X
Yinghui WuARC Research Hub for Smart Process Design and Control, Department of Chemical Engineering, Monash University, Clayton, VIC, Australia.
Zihan ChenARC Research Hub for Smart Process Design and Control, Department of Chemical Engineering, Monash University, Clayton, VIC, Australia.ORCID http://orcid.org/0000-0003-4598-2848
Weiren FanARC Research Hub for Smart Process Design and Control, Department of Chemical Engineering, Monash University, Clayton, VIC, Australia.
Qijun ZhengARC Research Hub for Smart Process Design and Control, Department of Chemical Engineering, Monash University, Clayton, VIC, Australia.
Ean Hin OoiDepartment of Mechanical Engineering, School of Engineering, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia.ORCID http://orcid.org/0000-0003-2766-7932
Baofu DingInstitute of Technology for Carbon Neutrality, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0001-6646-7285
Sheng YanInstitute for Advanced Study, Shenzhen University, Shenzhen, China.ORCID http://orcid.org/0000-0002-3463-0786
Jianli WangJiangsu Key Laboratory for Design and Manufacturing of Precision Medicine Equipment, Department of Mechanical Engineering, Southeast University, Nanjing, China.
Ruiping ZouCentre for Simulation and Modelling of Particulate Systems, School of Energy and Environment, Southeast University, Nanjing, China. ruiping.zou@unsw.edu.au.ORCID http://orcid.org/0000-0001-5154-2481
Ling QiuTsinghua Shenzhen International Graduate School (TSIGS), Tsinghua University, Shenzhen, China. ling.qiu@sz.tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-7830-7326
Aibing YuCentre for Simulation and Modelling of Particulate Systems, School of Energy and Environment, Southeast University, Nanjing, China.
Minsu LiuARC Research Hub for Smart Process Design and Control, Department of Chemical Engineering, Monash University, Clayton, VIC, Australia. minsuliu@gbu.edu.cn.ORCID http://orcid.org/0000-0003-0787-1725

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52202086National Natural Science Foundation of China (National Science Foundation of China) 52376159National Natural Science Foundation of China (National Science Foundation of China) 52421003
6 · The paper itself

Abstract

High heat fluxes challenge electronic thermal management, as phase change materials (PCMs) suffer from low heat transfer efficiency. In this work, we present a convection enhanced strategy using molten phase transport in phase change composites (PCCs). We fabricate porous fibers with over 90 vol% interconnected core channels and a dense, conductive shell via nonsolvent induced phase separation (NIPS). Experimental and numerical analyses reveal that specific channel structures activate internal convection, contributing over 100% more than intrinsic thermal conduction. Optimized PCC fibers achieve a thermal conductivity of 1.05 W·m

Identifiers

PMID41957007
PMCPMC13243567

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.