Evidence map›Paper›PMID 42161981›Full record

ArticleNature communications2026

Free-form thermal cloaks in three dimensions.

Weichen Li, Yibo Wang, Ole Sigmund, Xiaojia Shelly Zhang

Abstract read
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. 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

4 authors.

Weichen LiDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Yibo WangDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Ole SigmundDepartment of Civil and Mechanical Engineering, Technical University of Denmark, Koppels Allé, Kongens Lyngby, Denmark.ORCID http://orcid.org/0000-0003-0344-7249
Xiaojia Shelly ZhangDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA. zhangxs@illinois.edu.ORCID http://orcid.org/0000-0003-4878-8637

Funding

National Science Foundation (NSF) CMMI-2047692United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-23-1-0297Villum Fonden (Villum Foundation) VIL54487Villum Fonden (Villum Foundation) VIL83352
6 · The paper itself

Abstract

Cloaking from environmental detection has been a central goal in thermal engineering. The transformation theory has predicted its existence, requiring graded and highly anisotropic material properties. Its realization with general geometry was achieved recently in the two-dimensions. However, engineering free-form omnidirectional thermal cloaks in three-dimensional (3D) space remains far from being understood. Here, we physically realize omnidirectional three-dimensional thermal cloaking with arbitrarily complex shapes via a lattice composite formed by a 3D de-homogenization approach. The composite accurately delivers graded and anisotropic 3D thermal conductivities required for cloaking and features concise, well-connected structures fabricable with additive manufacturing. Numerical and experimental investigations demonstrate the successful concealing of complex objects from multi-directional thermal detection, such as cloaking an apple inside a pear. Integration of the strategy with spherical harmonics enables creating 3D cloaks with record-breaking complexity. Our findings mark the physical realization of the transformation theory in arbitrary 3D shape and provide a general, efficient, and practical route to realizing 3D thermal meta-devices.

Identifiers

PMID42161981
PMCPMC13324546

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LicenceCC BY-NC-ND
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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.