Jun 8, 2019 · In this paper, a deep neural network approach is introduced that significantly improves on both speed and accuracy compared to techniques ...
This paper presents a novel approach using deep neural networks to model all-dielectric meta-atoms over a wide spectrum. A deep neural network is ...
In this paper, a deep neural network approach is introduced that significantly improves on both speed and accuracy compared to techniques currently used to ...
A deep neural network approach is introduced that significantly improves on both speed and accuracy compared to techniques currently used to assemble ...
[PDF] A Deep Learning Approach for Objective-Driven All-Dielectric ...
dil.umbc.edu › sites › 2022/09
Nov 18, 2019 · In this paper, a deep learning modeling approach is introduced that significantly improves on both speed and accuracy compared to techniques ...
Bibliographic details on A Novel Modeling Approach for All-Dielectric Metasurfaces Using Deep Neural Networks.
Abstract—This paper presents a novel approach using deep neural networks to model all-dielectric meta-atoms over a wide spectrum. A deep neural network is ...
Abstract. We propose a deep learning design approach that significantly improves the design efficiency and accuracy over traditional trial-and-error methods ...
A novel modeling approach for all-dielectric metasurfaces using deep neural networks S An, C Fowler, B Zheng, MY Shalaginov, H Tang, H Li, L Zhou, J Ding
Sep 13, 2024 · In this paper, a deep learning-based metasurface/meta-atom modeling approach is introduced to significantly reduce the characterization time ...