Hybrid ANN-Z Method for Modeling Carbon Nanotube-Based Reconfigurable Intelligent Surfaces for Terahertz Beam Steering

coefficient of 0.994, while H(z) fitting achieved root mean square error of 0.89 dB. Stability analysis confirmed all poles within unit circle. This protocol provides an efficient, reproducible pathway for designing programmable photonic metasurfaces and intelligent terahertz communication systems for 6G and beyond.

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Publication Details

Journal
Journal of Visualized Experiments
Published
2026-08-28
DOI
https://doi.org/10.3791/70498
Primary Topic
Superconducting and THz Device Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Hybrid ANN-Z Method for Modeling Carbon Nanotube-Based Reconfigurable Intelligent Surfaces for Terahertz Beam Steering

Mayameen S. Kadhim, Taha A. Elwi, Humam Hussein
Journal of Visualized Experiments
Superconducting and THz Device Technology
article

Hybrid ANN-Z Method for Modeling Carbon Nanotube-Based Reconfigurable Intelligent Surfaces for Terahertz Beam Steering

Mayameen S. Kadhim, Taha A. Elwi, Humam Hussein
article en

Abstract

coefficient of 0.994, while H(z) fitting achieved root mean square error of 0.89 dB. Stability analysis confirmed all poles within unit circle. This protocol provides an efficient, reproducible pathway for designing programmable photonic metasurfaces and intelligent terahertz communication systems for 6G and beyond.

Journal of Visualized Experiments(234)
Bayan College (OM), Artificial Intelligence in Medicine (Canada) (CA), University of Tikrit (IQ)
Openalex Percentile: Top 10%
Superconducting and THz Device Technology
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