Evidence map›Paper›PMID 42606658›Full record

ArticleDiscover nano2026

Next generation graphene based MXene metamaterial multicylinder resonator solar absorber optimized with machine learning for conceptual solar dryer mining applications.

Yogesh Sharma, Raj Agravat, Shobhit K Patel, Yahia Said, Ravindra Singh Yadav, Abdulkarem H M Almawgani, Monir Abdullah, Nurul Halimatul Asmak Ismail

Abstract read
In one paragraph

Article in Discover nano, 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

8 authors.

Yogesh SharmaDepartment of Physics & Environmental Sciences, Sharda School of Engineering & Science, Sharda University, Greater Noida, Uttar Pradesh, 201310, India. yogesh.sharma2@sharda.ac.in.
Raj AgravatDepartment of Physics, Marwadi University, Rajkot, 360003, India.
Shobhit K PatelDepartment of Computer Engineering- AI & Big Data, Marwadi University, Rajkot, 360003, India.
Yahia SaidCenter for Scientific Research and Entrepreneurship, Northern Border University, Arar, 73213, Saudi Arabia. yahia.said@nbu.edu.sa.
Ravindra Singh YadavDepartment of computer science and engineering, Lovely professional University, Phagwara, Punjab, India.
Abdulkarem H M AlmawganiElectrical Engineering Department, College of Engineering, Najran University, Najran, Saudi Arabia.
Monir AbdullahDepartment of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, 61922, Bisha, Saudi Arabia.
Nurul Halimatul Asmak IsmailDepartment of Computer Science and Information Technology, Applied College, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the field of industry and mining sectors, energy demand is rapidly increasing, and it is very necessary to develop a durable, scalable, and broadband solar thermal absorber. And a conventional absorber has a narrowband absorptance and low thermal stability, so fulfil these requirements using graphene and MXene-based metamaterial absorbers as a next-generation solar absorber. This study shows the MXene and Graphene-based Multicylinder Resonator Solar Thermal Absorber (MGMRSA). Graphene and MXene are incorporated in the top layer of MGMRSA, whereas Si

Indexed as

COMSOLGrapheneMachine learningMetamaterialMXenePolarization-insensitiveSolar absorberUltra-broadband

Identifiers

PMID42606658
PMCPMC13481605

What OpenQuestion holds

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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.