New framework aligns latent representations over-the-air using intelligent metasurfaces.
arXiv research
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Study improves chiral photonic metasurface design using neural networks and genetic algorithms.
A learning algorithm optimizes beamforming for holographic transceivers in far-field communication.
Machine learning speeds up RIS design for efficient RF components.
Designs chiral photonic structures using machine learning for efficient optical properties.
In this paper, we demonstrate a computationally efficient new approach based on deep learning (DL) techniques for analysis, design, and optimization of electromagnetic (EM) nanostructures. We use the strong correlation among features of a generic EM problem to considerably reduce the dimensionality of the problem and t…