Evidence map›Paper›PMID 42439418›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Transparent Photothermal Superhydrophobic Coating With Structured Micrometer-Scale Regular Arrays for Anti-/De-Icing.

Yaoyu Wang, Xincheng Li, Shaolong Yao, Shunlong Li

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

4 authors.

Yaoyu WangSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China.
Xincheng LiSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China.
Shaolong YaoSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China.
Shunlong LiSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China.ORCID https://orcid.org/0000-0003-4665-4619

Funding

Fundamental Research Funds for the Central Universities FRFCU5710051018National Natural Science Foundation of China 52278299National Natural Science Foundation of China U22A20230
6 · The paper itself

Abstract

Photothermal superhydrophobic coatings hold great promise for anti-icing applications. However, insufficient transparency and poor durability are the main factors limiting their practical application. To address these challenges, we have designed a transparent photothermal superhydrophobic coating that primarily offers two advantages: first, a regular array structure is constructed on the surface to enhance durability; and second, selective absorption of the solar spectrum is employed to achieve efficient photothermal conversion. Under one standard solar irradiation (1-sun), the coating exhibits a temperature rise of 40.17°C while maintaining a visible‑light transmittance of 73.57%. At -15°C, the coating achieves a delayed ice time of 653 s, while its de-icing and de-frosting times reach 337 and 155 s, respectively. Notably, after 50 de-icing cycles, the coating still maintains a high contact angle (152°) and a low sliding angle (8°). These properties are attributed to the synergistic interaction between the micrometer-scale regular structure on the coating surface and its spectrally selective absorption capability. This study provides a feasible strategy for developing high-performance transparent anti-icing and de-icing coatings.

Indexed as

anti/de‐icingmicro‐structurespectral selectivitysuperhydrophobic coatingtemplate method

Identifiers

PMID42439418
PMCPMC13509122

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.