Evidence map›Paper›PMID 36296878›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Synthesis of LiDAR-Detectable True Black Core/Shell Nanomaterial and Its Practical Use in LiDAR Applications.

Suk Jekal, Jiwon Kim, Dong-Hyun Kim, Jungchul Noh, Min-Jeong Kim, Ha-Yeong Kim, Min-Sang Kim, Won-Chun Oh, Chang-Min Yoon

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

4 citing papers in PubMed, 28 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Suk JekalDepartment of Chemical and Biological Engineering, Hanbat National University, Yuseong-gu, Daejeon 34158, Korea.ORCID 0000-0002-8705-4735
Jiwon KimDepartment of Chemical and Biological Engineering, Hanbat National University, Yuseong-gu, Daejeon 34158, Korea.
Dong-Hyun KimDepartment of Chemical and Biological Engineering, Hanbat National University, Yuseong-gu, Daejeon 34158, Korea.
Jungchul NohMcKetta Department of Chemical Engineering and Texas Material Institute, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-3710-9988
Min-Jeong KimDepartment of Chemical and Biological Engineering, Hanbat National University, Yuseong-gu, Daejeon 34158, Korea.
Ha-Yeong KimDepartment of Chemical and Biological Engineering, Hanbat National University, Yuseong-gu, Daejeon 34158, Korea.
Min-Sang KimDepartment of Chemical and Biological Engineering, Hanbat National University, Yuseong-gu, Daejeon 34158, Korea.
Won-Chun OhDepartment of Advanced Materials Science and Engineering, Hanseo University, Seosan-si 31962, Korea.ORCID 0000-0002-0154-7388
Chang-Min YoonDepartment of Chemical and Biological Engineering, Hanbat National University, Yuseong-gu, Daejeon 34158, Korea.ORCID 0000-0002-6530-3833
Hanbat National University · KRHanseo University · KRThe University of Texas at Austin · US

Funding

National Research Foundation of Korea 2022R1F1A1061032
6 · The paper itself

Abstract

Light detection and ranging (LiDAR) sensors utilize a near-infrared (NIR) laser with a wavelength of 905 nm. However, LiDAR sensors have weakness in detecting black or dark-tone materials with light-absorbing properties. In this study, SiO2/black TiO2 core/shell nanoparticles (SBT CSNs) were designed as LiDAR-detectable black materials. The SBT CSNs, with sizes of 140, 170, and 200 nm, were fabricated by a series of Stöber, TTIP sol-gel, and modified NaBH4 reduction methods. These SBT CSNs are detectable by a LiDAR sensor and, owing to their core/shell structure with intrapores on the shell (ca. 2−6 nm), they can effectively function as both color and NIR-reflective materials. Moreover, the LiDAR-detectable SBT CSNs exhibited high NIR reflectance (28.2 R%) in a monolayer system and true blackness (L* < 20), along with ecofriendliness and hydrophilicity, making them highly suitable for use in autonomous vehicles.

Indexed as

autonomous vehicleblacknesscore/shellLiDAR blackLiDAR-detectablenanomaterialNIR-reflective

Identifiers

PMID36296878
PMCPMC9610704
OpenAlexW4306952480

What OpenQuestion holds

Textmetadata
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.