研究人员开发了用于超表面逆向设计的新型生成框架，超表面对于操纵电磁波至关重要。一种方法使用具有特征化调制和多样性正则化的渐进式生成GAN，以实现可控且物理上一致的合成。另一种方法采用物理引导的条件扩散框架，该框架包含制造感知约束和预训练的代理电磁模拟器，以实现高效准确的设计生成。这些方法将设计时间从数月显著缩短至数秒，并在生成可实现的超表面吸收器方面取得了高精度。 AI
影响 加速了先进电磁器件的设计周期，可能在传感和隐身等领域实现更快的创新。
排序理由 该集群包含多篇详细介绍新研究方法的学术论文。
AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →
Metasurfaces enable precise manipulation of electromagnetic waves for applications such as beam steering, sensing, and stealth technology. However, inverse design of metasurfaces with targeted EM responses remains challenging due to the computational expense of iterative full wav…
arXiv:2605.19611v2 Announce Type: replace Abstract: Inverse design of metasurfaces under continuous electromagnetic constraints requires generation of geometries that simultaneously satisfy stringent spectral specifications and remain manufacturable. Conventional approaches based…
arXiv:2606.05849v1 Announce Type: cross Abstract: Metasurfaces enable precise manipulation of electromagnetic waves for applications such as beam steering, sensing, and stealth technology. However, inverse design of metasurfaces with targeted EM responses remains challenging due …
Metasurfaces enable precise manipulation of electromagnetic waves for applications such as beam steering, sensing, and stealth technology. However, inverse design of metasurfaces with targeted EM responses remains challenging due to the computational expense of iterative full wav…