创新创业（创造）实践

    热烈祝贺交叉创新团队（与信息学院我校CEDA团队）成员夏浩达（中英联合培养专业型硕士）研究生、陈志宏教授、浦实副教授、徐宁教授合作撰写的研究论文“Inverse Design of Broadband Artificial Magnetic Conductor Metasurface for Radar Cross Section Reduction Using Simulated Annealing”被MDPI旗下Q1区期刊 Applied Sciences (IF: 2.7) 接收并在线发表（doi: https://doi.org/10.3390/app15062883）！这是团队首次发表利用AI算法驱动逆向（反向）设计超表面用于实现超性能雷达吸波隐身结构相关论文，本工作由新一代人工智能国家科技重大专项（2021ZD0114600）资助。

中文摘要：

    在本研究中，我们提出了一种新颖的棋盘超表面（元胞）设计方法，旨在降低线性极化波的雷达散射截面（RCS）。该设计采用了旋转对称性，并纳入了十个连续参数来定义超表面单元，从而能够创建灵活的二维结构。随后，我们使用模拟退火（SA）算法对两个单元的几何参数进行优化，以实现缩减RCS的棋盘超表面。优化完成后，对超表面的性能进行了实物实验验证。实验结果显示，在7.6 – 15.5 GHz范围内，RCS显著降低了10 dB，在垂直入射时，最大降低幅度达到 - 28 dB。对于双站RCS，该超表面能将入射波有效地散射到四个不同的波瓣方向上。综上，所提出的方法为缩减RCS超表面的逆向设计提供了一种替代策略，并可扩展应用于极化控制、相位梯度调控和透射传输型超表面等领域。

附原文摘要如下：
  In this study, we present a novel design methodology for unit cells in chessboard metasurfaces with the aim of reducing the radar cross-section (RCS) for linearly polarized waves. The design employs rotational symmetry and incorporates ten continuous parameters to define the metasurface units, enabling the creation of flexible 2D structures. The geometrical parameters of the two units are then optimized using a simulated annealing (SA) algorithm to achieve a low RCS chessboard metasurface. Following optimization, the properties of the metasurface were experimentally verified. The experimental results show a significant RCS reduction of 10 dB within the 7.6–15.5 GHz range, with the peak reduction reaching-28 dB at normal incidence. For a bistatic RCS, the metasurface effectively scatters incident waves into four distinct lobes. The proposed method offers an alternative strategy for the inverse design of low RCS metasurfaces and can be extended to applications in polarization control, phase gradient manipulation, and transmissive metasurfaces.