Next-Generation Light Harvesting: MXene (Ti

Abida Parveen, Deepika Tyagi, Vijay Laxmi, Naeem Ullah, Faisal Ahmad, Ahsan Irshad, Keyu Tao, Zhengbiao Ouyang

Abstract read

In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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

8 authors.

Abida ParveenKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.ORCID 0009-0005-6961-3686

Deepika TyagiKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.

Vijay LaxmiCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518000, China.

Naeem UllahCollege of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.

Faisal AhmadShenzhen Key Laboratory for Nano-Biosensing Technology, Research Center for Biosensor and Nanotheranostic, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.ORCID 0009-0005-3137-6259

Ahsan IrshadDepartment of Physics, University of Poonch Rawalakot, Rawalakot 12350, Pakistan.ORCID 0009-0008-5516-1609

Keyu TaoKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.

Zhengbiao OuyangKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.ORCID 0000-0002-1466-7813

Funding

National Natural Science Foundation of China 61275043, 61107049Natural Science Foundation of Guangdong Province 2020A1515011154Natural Science Foundation of Shenzhen City JCYJ20170302151033006, JCYJ20190808151017218

6 · The paper itself

Abstract

Electromagnetic wave (EMW) absorption materials are crucial for a wide range of applications, yet most existing materials suffer from complex fabrication and narrow absorption bands, particularly under harsh environmental conditions. In this study, we introduce a broadband metamaterial absorber based on Ti

Indexed as

light harvestingmetamaterial absorbersMxene

Identifiers

PMID40731483

DOI10.3390/ma18143273

PMCPMC12300940

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.