Research paper
Other ComputationalExperimental CharacterizationWGAN based Inverse Design of Active Dual Band FSS with Switchable Transmission
Rui Xi, Xinke Kuang, Huanran Qiu, Shiyun Ma et al.
2026·arXiv:2605.03335
| Type | Label | Value | Material | Sample | Condition | Source |
|---|---|---|---|---|---|---|
| Model Training Accuracy | WGAN training accuracy | 95.59% | — | |||
| Model Validation Accuracy | WGAN validation accuracy | 90.84% | — | |||
| Model Training Accuracy | predictor training accuracy | 98.5% | — | |||
| Model Validation Accuracy | predictor validation accuracy | 94.1% | — |
| Type | Label | Value | Material | Sample | Condition | Source |
|---|---|---|---|---|---|---|
| Model Training Accuracy | WGAN training accuracy | 95.59% | — | |||
| Model Validation Accuracy | WGAN validation accuracy | 90.84% | — | |||
| Model Training Accuracy | predictor training accuracy | 98.5% | — | |||
| Model Validation Accuracy | predictor validation accuracy | 94.1% | — |
| Type | Label | Value | Material | Sample | Condition | Source |
|---|---|---|---|---|---|---|
| Model Training Accuracy | WGAN training accuracy | 95.59% | — | |||
| Model Validation Accuracy | WGAN validation accuracy | 90.84% | — | |||
| Model Training Accuracy | predictor training accuracy | 98.5% | — | |||
| Model Validation Accuracy | predictor validation accuracy | 94.1% | — |
| Type | Label | Value | Material | Sample | Condition | Source |
|---|---|---|---|---|---|---|
| Model Training Accuracy | WGAN training accuracy | 95.59% | — | |||
| Model Validation Accuracy | WGAN validation accuracy | 90.84% | — | |||
| Model Training Accuracy | predictor training accuracy | 98.5% | — | |||
| Model Validation Accuracy | predictor validation accuracy | 94.1% | — |