Evidence map›Paper›PMID 42365023›Full record

ArticleNature communications2026

Plasmonic nanocomposite helices for weather-adaptive LiDAR function.

JuHyeong Lee, Gyurin Kim, Doeun Kim, Hyun Min Kim, Jang-Hwan Han, Hyeon-Ho Jeong

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. 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

6 authors.

JuHyeong Lee *Department of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea.ORCID http://orcid.org/0009-0002-1323-6162
Gyurin Kim *Department of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea.ORCID http://orcid.org/0009-0003-2950-2258
Doeun KimDepartment of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea.ORCID http://orcid.org/0000-0002-9472-0329
Hyun Min KimDepartment of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea.ORCID http://orcid.org/0000-0002-2961-8926
Jang-Hwan HanDepartment of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea.
Hyeon-Ho JeongDepartment of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea. jeong323@gist.ac.kr.ORCID http://orcid.org/0000-0002-7029-9592

Funding

National Research Foundation of Korea (NRF) RS-2024-00352033
6 · The paper itself

Abstract

Reliable light detection and ranging (LiDAR) is often challenged by multiscale water droplets on protective covers, as macroscopic raindrops cause refraction and diffraction, while microscopic fog condensation scatters light, distorting returned signals. Here, we present a bioinspired strategy for multiscale droplet clearance using plasmonic nanocomposite helices that couple passive photothermal antifogging with pressure-stable hydrophobic water repellence. Inspired by penguin feather barbules, copper nanoparticles are embedded within three-dimensional silica nanohelices via glancing angle co-deposition. The copper nanoparticles provide visible-light plasmonic heating while preserving >85% transmittance at 905 nm, and the helical architecture imparts hierarchical roughness, yielding a 143° contact angle. Under 1 sun illumination, the surface shows a 9.3°C temperature rise, clearing condensation within 6 seconds. During natural rainfall (3-5 mm/h), LiDAR transmission through the plasmonic nanohelices remains at 100%, whereas bare glass drops to 70% after 5 minutes. These results demonstrate weather-adaptive LiDAR operation for robust autonomous sensing.

Identifiers

PMID42365023
PMCPMC13454184

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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.