Evidence map›Paper›PMID 41775790›Full record

ArticleScientific reports2026

Square-slotted THz metamaterial-inspired MIMO antenna design optimized with machine learning for TWPAN networks and next-generation communication systems.

Meshari Alsharari, Yogesh Sharma, Ammar Armghan, Khaled Aliqab, S K Patel, Aymen Flah

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Meshari AlsharariDepartment of Electrical Engineering, College of Engineering, Jouf University, 72388, Sakaka, Saudi Arabia.
Yogesh SharmaDepartment of Physics & Environmental Sciences, Sharda School of Engineering & Science, Sharda University, Greater Noida, 201310, Uttar Pradesh, India.
Ammar ArmghanDepartment of Electrical Engineering, College of Engineering, Jouf University, 72388, Sakaka, Saudi Arabia. aarmghan@ju.edu.sa.
Khaled AliqabDepartment of Electrical Engineering, College of Engineering, Jouf University, 72388, Sakaka, Saudi Arabia.
S K PatelDepartment of Computer Engineering-AI & DB, Marwadi University, Rajkot, 360003, Gujarat, India.
Aymen FlahApplied Science Research Center, Applied Science Private University, Amman, 11931, Jordan. aymen.flah@vsb.cz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing demand for high-speed communication necessitates antennas operating at higher frequencies in the THz range with broad bandwidth, compact size and higher gain. In this research, we have proposed a compact THz antenna designed with metamaterial-inspired elements to achieve improved gain and wideband performance. This paper presents the design and performance analysis of a high-efficiency MIMO antenna system for terahertz (THz) communication applications. The proposed antenna is optimized to deliver robust diversity performance, low mutual coupling, and minimal channel degradation. The design is also optimized with machine learning, with the highest R2 value of 0.95. The optimized design gives 54 THz bandwidth and 7.6 dBi gain. The ECC remains well below 0.005, ensuring excellent isolation between elements. The TARC exhibits values below − 10 dB across the critical bandwidth, confirming low reflection under simultaneous port excitation. These results demonstrate the designed structure’s potential for integration into THz communication and THz Wireless Personal Area Network.

Indexed as

AntennaDiversity parametersHigh gainMetamaterialMIMOTHzTHz Wireless Personal Area Network (TWPAN)Ultra-broadband

Identifiers

PMID41775790
PMCPMC13066428

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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.