Datasets:
MetaMamba: Multilayered Huygens' Metasurface Design Dataset
This dataset accompanies the two-part article:
Harnessing Selective State Space Models to Enhance Semianalytical Design of Fabrication-Ready Multilayered Huygens' Metasurfaces
GitHub Repository (code + processing scripts): https://github.com/nati-nissan/MetaMamba
Overview
This dataset supports forward surrogate training and CST calibration for the MetaMamba pipeline — a generative inverse design framework for multilayer transmissive Huygens Metasurface (HMS) unit cells.
The design problem: given a target scattering response (transmission efficiency |T|² and phase φ), recover the five-layer Jerusalem-Cross (JC) patch geometry W = (W₁, …, W₅) that realizes it. This is an inherently one-to-many inverse problem, addressed by the AR-Mamba generator described in Part II.
Two data sources are provided, covering both a single design frequency and a broadband frequency range:
| Source | Description |
|---|---|
| LAYERS (SA) | Large-scale semi-analytical data generated by the LAYERS solver (introduced in Part I). Fast, physics-based, used for surrogate pretraining. |
| CST Microwave Studio | High-fidelity full-wave simulations under periodic Floquet boundary conditions. Small but accurate; used for surrogate calibration. |
Files
| File | Source | Frequency | Samples | Role in pipeline |
|---|---|---|---|---|
sa_dataset_20ghz.csv |
LAYERS (SA) | 20 GHz | ~524,000 | Forward surrogate pretraining |
cst_dataset_20ghz.csv |
CST | 20 GHz | 1,080 | Forward surrogate calibration |
sa_freq_resp_18_to_22.csv |
LAYERS (SA) | 18–22 GHz | ~65,000 | Broadband surrogate pretraining |
cst_freq_resp_18_to_22.csv |
CST | 18–22 GHz | 1,080 | Broadband surrogate calibration |
The CST datasets reuse the same 1,080 unit-cell geometries for both single-frequency and broadband calibration. Each full-wave simulation inherently yields the broadband response, so no additional CST budget is required for the broadband regime.
Column Schema
Single-frequency files (*_20ghz.csv)
| Column | Description | Unit |
|---|---|---|
W1 … W5 |
JC patch leg lengths (design parameters) | mil |
t_square |
Transmission power efficiency |T|² at 20 GHz | (0 to 1) |
t_pha |
Transmission phase φ at 20 GHz | degrees (−180° to 180°) |
Frequency-response files (*_freq_resp_18_to_22.csv)
| Column | Description | Unit |
|---|---|---|
W1 … W5 |
JC patch leg lengths | mil |
eff_18.0 … eff_22.0 |
Transmission power efficiency |T|² sampled across [18, 22] GHz | (0 to 1) |
pha_18.0 … pha_22.0 |
Transmission phase φ sampled across [18, 22] GHz | degrees (−180° to 180°) |
Data processing (normalization, train/val/test splits) is handled by scripts in the GitHub repository. Raw files are provided here as-is.
Citation
If you use this dataset, please cite both parts of the paper:
@misc{marcus2026harnessingselectivestatespace,
title={Harnessing Selective State Space Models to Enhance Semianalytical Design
of Fabrication-Ready Multilayered Huygens' Metasurfaces:
Part I - Field-based Semianalytical Synthesis},
author={Sherman W. Marcus and Natanel Nissan and Vinay K. Killamsetty
and Ravi Yadav and Dan Raviv and Raja Giryes and Ariel Epstein},
year={2026},
eprint={2603.03837},
archivePrefix={arXiv},
primaryClass={physics.app-ph},
url={https://arxiv.org/abs/2603.03837},
}
@misc{nissan2026harnessingselectivestatespace,
title={Harnessing Selective State Space Models to Enhance Semianalytical Design
of Fabrication-Ready Multilayered Huygens' Metasurfaces:
Part II - Generative Inverse Design (MetaMamba)},
author={Natanel Nissan and Sherman W. Marcus and Dan Raviv
and Raja Giryes and Ariel Epstein},
year={2026},
eprint={2603.03877},
archivePrefix={arXiv},
primaryClass={physics.app-ph},
url={https://arxiv.org/abs/2603.03877},
}
License
This dataset is released under the MIT License.
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