Evidence map›Paper›PMID 39635113›Full record

ArticleNanophotonics (Berlin, Germany)2024

Superhydrophobic bilayer coating for passive daytime radiative cooling.

Bin Zhao, Chengfeng Xu, Cheng Jin, Kegui Lu, Ken Chen, Xiansheng Li, Lanxin Li, Gang Pei

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 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. Spectrally Selective Daytime Radiative Cooling Coating.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Thermal photonics for sustainability.Nanophotonics (Berlin, Germany) · 2024
    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

8 authors.

Bin ZhaoDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.ORCID https://orcid.org/0000-0002-5211-3715
Chengfeng XuDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Cheng JinDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Kegui LuDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Ken ChenDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Xiansheng LiDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Lanxin LiDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Gang PeiDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Passive radiative cooling is an energy-free cooling method by exchanging thermal radiation with the cold universe through the transparent atmospheric window. Spectrum tailoring of the radiative cooler is the key to daytime radiative cooling in previously reported works. In addition, radiative coolers with large-scale fabrication and self-cleaning characteristics should be further developed to improve their industrial applicability. Herein, we propose a bilayer radiative cooling coating with the superhydrophobic property and a scalable process, by covering TiO

Indexed as

atmospheric windowradiative coolingsuperhydrophobicitysynergetic reflection

Identifiers

PMID39635113
PMCPMC11501716

What OpenQuestion holds

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LicenceCC BY
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.