Evidence map›Paper›PMID 41591626›Full record

ArticleDiscover nano2026

Multi-functional log-periodic graphene antennas for ultra-wideband systems.

V Govindaraj, C Ramesh, S Dhanasekar, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

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.

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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.

V GovindarajDepartment of ECE, Kalaignarkarunanidhi Institute of Technology, Coimbatore, 641402, India.
C RameshDepartment of ECE, Kalaignarkarunanidhi Institute of Technology, Coimbatore, 641402, India.
S DhanasekarDepartment of ECE, Sri Eshwar College of Engineering, Coimbatore, 641202, India.
Binay Kumar PandeyDepartment of Information Technology, College of Technology, Govind Ballabh Pant University of Agriculture and Technology Pantnagar, Udham, Singh Nagar, India.
Digvijay PandeyDepartment of Technical Education, Lucknow, Uttar Pradesh, India.
Mesfin Esayas LelishoDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia. mesfinesayas@mtu.edu.et.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultra-wideband (UWB) technology has garnered significant interest from researchers worldwide. Reducing antenna size, guaranteeing radiation stability, attaining impedance matching, and keeping costs down are recent challenges.The adaptability, compactness, and wideband performance of log-periodic sawtooth planar antennas for UWB applications show great potential. There is much potential for improvement, especially in high-gain and multi-band settings, as indicated by the current research and advancements in resonator structures, reconfigurability, and meta surface designs. These advancements guarantee that log-periodic architectures will remain relevant and it targets wideband sub-GHz applications that complement 5G networks, including control, broadcast, and backward-compatibility services. A toothed log-periodic antenna based on graphene is proposed in this study to operate in the 0.1-1.3 GHz frequency range. In proposed method by varying the DC voltage applied to the graphene, the antenna's bandwidth, radiation pattern, and operating frequency range is dynamically adjusted. The graphene's chemical potential, surface conductivity, and surface impedance, this voltage control makes it possible to create a reconfigurable antenna design is adjusted. A log-periodic graphene lattice coupled to a 50-ohm feed line makes up the antenna's radiating element. Simulation and implementation results demonstrate that the antenna generates stable, directional radiation patterns over a wide frequency range from 0.1 to 1.3 GHz when the chemical potential of graphene is set to 1 eV.

Indexed as

Log periodic antennaMetamaterialPlasmonSawtooth planar antennaUltra-Wide band

Identifiers

PMID41591626
PMCPMC13661848

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.