Evidence map›Paper›PMID 35879371›Full record

ArticleNature communications2022

Tailoring thermal insulation architectures from additive manufacturing.

Lu An, Zipeng Guo, Zheng Li, Yu Fu, Yong Hu, Yulong Huang, Fei Yao, Chi Zhou, Shenqiang Ren

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Bioinspired Dry-Steam Superinsulation Straw Foam.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  3. Article
  4. 3D Printing of Porous Ceramics for Enhanced Thermal Insulation Properties.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. 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

9 authors.

Lu An *Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Zipeng Guo *Department of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA.ORCID http://orcid.org/0000-0003-2965-9995
Zheng Li *Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Yu FuDepartment of Materials Design and Innovation, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Yong HuDepartment of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA.ORCID http://orcid.org/0000-0003-3360-7856
Yulong HuangDepartment of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA.ORCID http://orcid.org/0000-0002-9616-0134
Fei YaoDepartment of Materials Design and Innovation, University at Buffalo, The State University of New York, Buffalo, NY, USA. feiyao@buffalo.edu.ORCID http://orcid.org/0000-0001-8414-7955
Chi ZhouDepartment of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA. chizhou@buffalo.edu.ORCID http://orcid.org/0000-0001-7230-3754
Shenqiang RenDepartment of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA. shenren@buffalo.edu.ORCID http://orcid.org/0000-0002-9987-3316

Funding

DOE | Office of Energy Efficiency & Renewable Energy | Building Technologies Office (BTO) DE-EE0008675National Science Foundation (NSF) CMMI-1846863
6 · The paper itself

Abstract

Tailoring thermal transport by structural parameters could result in mechanically fragile and brittle networks. An indispensable goal is to design hierarchical architecture materials that combine thermal and mechanical properties in a continuous and cohesive network. A promising strategy to create such a hierarchical network targets additive manufacturing of hybrid porous voxels at nanoscale. Here we describe the convergence of agile additive manufacturing of porous hybrid voxels to tailor hierarchically and mechanically tunable objects. In one strategy, the uniformly distributed porous silica voxels, which form the basis for the control of thermal transport, are non-covalently interfaced with polymeric networks, yielding hierarchic super-elastic architectures with thermal insulation properties. Another additive strategy for achieving mechanical strength involves the versatile orthogonal surface hybridization of porous silica voxels retains its low thermal conductivity of 19.1 mW m

Identifiers

PMID35879371
PMCPMC9314391

What OpenQuestion holds

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LicenceCC BY
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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.