ArticleScientific reports2023
A reconfigurable graphene patch antenna inverse design at terahertz frequencies.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Reconfigurable bi-lateral graphene-based meta-surface for wide-band independent OAM generation in transmit/reflect modes.Scientific reports · 2026Article
- Predicting the performance of a graphene-based patch antenna using a machine learning model for terahertz applications.Scientific reports · 2026Article
- Proposing a novel structure for the implementation of a graphene metamaterial-based tunable band pass/stop spatial THz plasmonic filter.Scientific reports · 2025Article
- Epsilon negative dynamic coded THz metamaterial beamformer for digital information encryption.Scientific reports · 2024Article
- Reprogrammable reflection-transmission integrated coding metasurface for real-time terahertz wavefront manipulations in full-space.Scientific reports · 2024Article
- Multi-channel polarization manipulation based on graphene for encryption communication.Scientific reports · 2024Article
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Authors and funding
4 authors.
Funding
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Abstract
This article investigates the inverse design of a reconfigurable multi-band patch antenna based on graphene for terahertz applications to operate frequency range (2-5THz). In the first step, this article evaluates the dependence of the antenna radiation characteristics on its geometric parameters and the graphene properties. The simulation results show that it is possible to achieve up to 8.8 dB gain, 13 frequency bands, and 360[Formula: see text] beam steering. Then and due to the complexity of the design of graphene antenna, a deep neural network (DNN) is used to predict the antenna parameters by given inputs like desired realized gain, main lobe direction, half power beam width, and return loss in each resonance frequency. The trained DNN model predicts almost with 93% accuracy and 3% mean square error in the shortest time. Then, this network was used to design five-band and three-band antennas, and it has been shown that the desired antenna parameters are achieved with negligible errors. Therefore, the proposed antenna finds many potential applications in the THz frequency band.
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Registered trials
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