Ouling Wu

Revealing the Long‐Range Coupling for Multi‐Dimensional Metasurface Multiplexer

Ouling Wu, Chao Qian, Guangfeng You, Hongsheng Chen

ABSTRACT Metasurface coupling constitutes a fundamental yet intricate electromagnetic interaction that occurs within a lattice of artificial subwavelength unit cells. Despite its prevalence, such coupling is typically ignored in conventional metasurface design frameworks due to the high characterization complexity, leading to suboptimal …

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Multi‐Physics Metasurface Inverse Design With Cross‐Domain Invariant Feature

Jiaheng Liu, Ouling Wu, Guangming He, Guangfeng You

ABSTRACT Deep learning has recently reshaped the landscape of metasurface inverse design by creating a simulation agent from electromagnetic response to structural configuration. Despite significant progress in transfer learning, the inverse design across different physical fields remains challenging due to substantial domain …

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Global Cross-Attention Transformer for Zero-Shot Metasurface Inverse Design

Li Zhu, Yichen Wang, Guangming He, Ouling Wu et autres

Abstract The integration of artificial intelligence with electromagnetic metasurfaces has inaugurated a new era of intelligent metasurfaces, enabling self-adaptive ability for various user demands and in complex environments. However, inverse design, as the core of intelligent metasurfaces, is typically trained based on …

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Revealing the long-range coupling for multi-dimensional metasurface multiplexer

Ouling Wu, Chao Qian, Guangfeng You, Hongsheng Chen

Metasurface coupling constitutes a fundamental yet intricate electromagnetic interaction that occurs within a lattice of artificial subwavelength unit cells. Despite its prevalence, such coupling is typically ignored in conventional metasurface design frameworks due to the high characterization complexity, leading to suboptimal device …

Revealing the long-range coupling for multi-dimensional metasurface multiplexer

Ouling Wu, Chao Qian, Guangfeng You, Hongsheng Chen

Metasurface coupling constitutes a fundamental yet intricate electromagnetic interaction that occurs within a lattice of artificial subwavelength unit cells. Despite its prevalence, such coupling is typically ignored in conventional metasurface design frameworks due to the high characterization complexity, leading to suboptimal device …

Coupling Enhanced Diffractive Deep Neural Network with Structural Nonlinearity

Ouling Wu, Chao Qian, Guangfeng You, Dashuang Liao et autres

The increasing complexity of deep learning models poses stringent requirements on electronic computers. Diffractive deep neural networks (D2NNs), as one of the most representative optical computing architectures, have emerged as a significant substitute for electronic‐based devices due to the advantages of high …

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Flow‐Based Electromagnetic Information Recovery for Inaccessible Area and Low‐Resolution Detection

Guangfeng You, Chao Qian, Shurun Tan, Longwei Tian et autres

Abstract Metasurfaces are widely applied in various applications, such as none‐line‐of‐sight detection, radar imaging enhancement, and non‐invasive monitoring. However, electromagnetic (EM) information recovery in inaccessible and occluded areas is of great importance to obtain complete EM picture, albeit challenging. Conventional methods to …

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General Characterization of Intelligent Metasurfaces with Graph Coupling Network

Ouling Wu, Chao Qian, Zhixiang Fan, Xiaoyue Zhu et autres

Abstract Intelligent metasurfaces, as the next‐generation of metasurfaces, have emerged as a versatile artificial electromagnetic (EM) medium capable of adaptively manipulating wave‐matter interactions, especially in the construction of EM space integration and the analogy of wave‐based neural networks. However, current computational landscape …

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