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

Kadhim MS, Hussein H, Elwi TA

DOI: 10.3791/70498
Published: 2026 Aug 28
Container: Journal of visualized experiments : JoVE
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.3791/70498,
  title = {Hybrid ANN-Z Method for Modeling Carbon Nanotube-Based Reconfigurable Intelligent Surfaces for Terahertz Beam Steering.},
  author = {Kadhim MS and Hussein H and Elwi TA},
  year = {2026},
  journal = {Journal of visualized experiments : JoVE},
  doi = {10.3791/70498},
  url = {https://doi.org/10.3791/70498}
}

RIS

TY  - JOUR
TI  - Hybrid ANN-Z Method for Modeling Carbon Nanotube-Based Reconfigurable Intelligent Surfaces for Terahertz Beam Steering.
AU  - Kadhim MS
AU  - Hussein H
AU  - Elwi TA
PY  - 2026
JO  - Journal of visualized experiments : JoVE
DO  - 10.3791/70498
UR  - https://doi.org/10.3791/70498
ER  -

APA

MS, K., H, H., & TA, E. (2026). Hybrid ANN-Z Method for Modeling Carbon Nanotube-Based Reconfigurable Intelligent Surfaces for Terahertz Beam Steering.. Journal of visualized experiments : JoVE. https://doi.org/10.3791/70498

Source records

pubmed · retrieved 2026-09-25T04:23:16.162Z
europe-pmc · retrieved 2026-09-25T04:23:16.197Z