Evidence map›Paper›PMID 38714661›Full record

ArticleNature communications2024

Universal Murray's law for optimised fluid transport in synthetic structures.

Binghan Zhou, Qian Cheng, Zhuo Chen, Zesheng Chen, Dongfang Liang, Eric Anthony Munro, Guolin Yun, Yoshiki Kawai, Jinrui Chen, Tynee Bhowmick and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. 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

16 authors.

Binghan ZhouCambridge Graphene Centre, University of Cambridge, Cambridge, CB3 0FA, UK.ORCID http://orcid.org/0000-0002-2393-934X
Qian ChengDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.ORCID http://orcid.org/0000-0003-4592-5915
Zhuo ChenCambridge Graphene Centre, University of Cambridge, Cambridge, CB3 0FA, UK.ORCID http://orcid.org/0000-0003-4199-725X
Zesheng ChenCambridge Graphene Centre, University of Cambridge, Cambridge, CB3 0FA, UK.
Dongfang LiangDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.ORCID http://orcid.org/0000-0001-5639-7375
Eric Anthony MunroCambridge Graphene Centre, University of Cambridge, Cambridge, CB3 0FA, UK.
Guolin YunCambridge Graphene Centre, University of Cambridge, Cambridge, CB3 0FA, UK.ORCID http://orcid.org/0000-0001-5457-3777
Yoshiki KawaiDepartment of Materials Science and Engineering, Tokyo Institute of Technology, Tokyo, 152-8552, Japan.
Jinrui ChenCambridge Graphene Centre, University of Cambridge, Cambridge, CB3 0FA, UK.
Tynee BhowmickCambridge Graphene Centre, University of Cambridge, Cambridge, CB3 0FA, UK.
Karthick Kannan PadmanathanSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Luigi Giuseppe OcchipintiCambridge Graphene Centre, University of Cambridge, Cambridge, CB3 0FA, UK.ORCID http://orcid.org/0000-0002-9067-2534
Hidetoshi MatsumotoDepartment of Materials Science and Engineering, Tokyo Institute of Technology, Tokyo, 152-8552, Japan.ORCID http://orcid.org/0000-0002-4949-1184
Julian William GardnerSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Bao-Lian SuLaboratory of Inorganic Materials Chemistry (CMI), University of Namur, B-5000, Namur, Belgium.ORCID http://orcid.org/0000-0001-8474-0652
Tawfique HasanCambridge Graphene Centre, University of Cambridge, Cambridge, CB3 0FA, UK. th270@cam.ac.uk.ORCID http://orcid.org/0000-0002-6250-7582

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/W024284/1
6 · The paper itself

Abstract

Materials following Murray's law are of significant interest due to their unique porous structure and optimal mass transfer ability. However, it is challenging to construct such biomimetic hierarchical channels with perfectly cylindrical pores in synthetic systems following the existing theory. Achieving superior mass transport capacity revealed by Murray's law in nanostructured materials has thus far remained out of reach. We propose a Universal Murray's law applicable to a wide range of hierarchical structures, shapes and generalised transfer processes. We experimentally demonstrate optimal flow of various fluids in hierarchically planar and tubular graphene aerogel structures to validate the proposed law. By adjusting the macroscopic pores in such aerogel-based gas sensors, we also show a significantly improved sensor response dynamics. In this work, we provide a solid framework for designing synthetic Murray materials with arbitrarily shaped channels for superior mass transfer capabilities, with future implications in catalysis, sensing and energy applications.

Identifiers

PMID38714661
PMCPMC11076523

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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.