论文标题
多功能元语系统：通过人工智能成反比
Multifunctional Meta-Optic Systems: Inversely Designed with Artificial Intelligence
论文作者
论文摘要
平面光学元件预见了超紧凑型光学设备的新时代，其中元信息是基础。元整面的常规设计从特定的结构开始，作为原型，然后进行广泛的参数扫描，以适应新兴光的相位和振幅的要求。无论该过程如何消耗计算，预定义的结构几乎都无法实现对极化，频率和空间通道的独立控制，从而阻碍了跨索面的潜力多功能。此外，实现复杂和多个功能需要设计具有多个元素层层层层的元语系统，从而引入了超级指数的复杂性。在这项工作中，我们提出了一个人工智能框架，用于设计具有多功能功能的多层元元系统。我们演示了极化多形的双功能梁发生器，用于全光计算的二阶差异因子以及空间极化波长多路全息图。这些示例几乎无法通过单层元信息来实现，而传统的设计过程则无法实现。
Flat optics foresees a new era of ultra-compact optical devices, where metasurfaces serve as the foundation. Conventional designs of metasurfaces start with a certain structure as the prototype, followed by an extensive parametric sweep to accommodate the requirements of phase and amplitude of the emerging light. Regardless of how computation-consuming the process is, a predefined structure can hardly realize the independent control over the polarization, frequency, and spatial channels, which hinders the potential of metasurfaces to be multifunctional. Besides, achieving complicated and multiple functions calls for designing a meta-optic system with multiple cascading layers of metasurfaces, which introduces super exponential complexity. In this work we present an artificial intelligence framework for designing multilayer meta-optic systems with multifunctional capabilities. We demonstrate examples of a polarization-multiplexed dual-functional beam generator, a second order differentiator for all-optical computation, and a space-polarization-wavelength multiplexed hologram. These examples are barely achievable by single-layer metasurfaces and unattainable by traditional design processes.
