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量子化反向设计用于光子集成电路.

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本研究介绍了一种用于设计光子集成电路 (PIC) 的存储效率高的框架,使用反向模式自动分化. 该方法可以实现复杂的3D多材料结构,克服PIC设计中的计算挑战.

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科学领域:

  • 光子学和计算电磁学 电磁学
  • 集成电路设计 集成电路设计
  • 材料科学与工程 材料科学与工程

背景情况:

  • 光子集成电路 (PIC) 的反向设计面临着重要的计算内存挑战.
  • 像双光子聚合 (2PP) 这样的先进制造技术需要更灵活的优化算法来优化多材料3D结构.
  • 现有的方法在新型制造工艺的复杂约束下扎.

研究的目的:

  • 为有限差异时间域 (FDTD) 模拟开发一个内存高效的反向模式自动差异化框架.
  • 为了使复杂的设计,多材料3D光子结构使用新的制造方法.
  • 为了解决PIC反向设计中的计算限制.

主要方法:

  • 实现了FDTD模拟的记忆效率高的反向模式自动差异化框架.
  • 使用直通梯度估计来处理不可差异的形状参数化.
  • 开发了优化算法,能够管理来自先进制造工艺的复杂约束.

主要成果:

  • 成功设计了越来越复杂的光子结构,以解决PIC中的合问题.
  • 证明了框架在处理内存密集型模拟中的有效性.
  • 验证了创建具有独特属性的3D多材料结构的方法.

结论:

  • 拟议的内存高效框架显著提升了PIC反向设计能力.
  • 该方法可以使用新的制造技术来创建复杂的光子设备.
  • 这种方法对未来的PIC设计和实际应用具有巨大的潜力.