AI 中文总结
VortexChat是结合LLM决策智能体与电磁仿真的自主设计框架，可从自然语言规格端到端设计集成光子器件，在Vortex100基准测试中无需人工介入即可生成达标器件，成功设计制备出高性能太赫兹涡旋光束复用器。
AI 中文摘要
现代集成光子学的发展常受限于严重依赖手动仿真和专家直觉的器件设计流程。虽然逆设计提供了另一种方案，但它仍受限于专家监督和缺乏端到端自动化的问题。为解决这些问题，我们提出VortexChat，一个面向集成光子器件自主、端到端逆设计的智能体框架，可直接从自然语言规格进行设计。VortexChat将大语言模型（LLM）决策智能体与拓扑生成、基于梯度的优化及全波电磁仿真相结合。这种闭环架构使系统能迭代分解设计目标、协调计算工具并根据反馈更新策略，且仅需极少人工干预。在Vortex100基准的绝对指标约束下，VortexChat自主生成的器件可严格满足所有预定义性能阈值，无需任何人工介入。作为实验演示，我们制备了一个由VortexChat自主设计的宽带太赫兹完美涡旋光束复用器，测量结果证实其具备高效运行、高模式纯度和低通道间串扰，与全波仿真结果一致。这些结果表明，LLM智能体可在保持物理保真度和制造可行性的前提下，承担光子逆设计中专家决策的关键方面，为复杂集成光子系统的自主设计提供了可扩展路径。
英文摘要
The advancement of modern integrated photonics is frequently bottlenecked by device design workflows that rely heavily on manual simulation and expert intuition. While inverse design offers an alternative, it remains constrained by expert supervision and a lack of end-to-end automation. To address these issues, we present VortexChat, an agentic framework for the autonomous, end-to-end inverse design of integrated photonic devices directly from natural language specifications. VortexChat couples a large language model (LLM) decision agent with topology generation, gradient-based refinement, and full-wave electromagnetic simulation. This closed-loop architecture enables the system to iteratively decompose design objectives, orchestrate computational tools, and update strategies based on feedback with minimal human intervention. Constrained by the absolute metrics of the Vortex100 Benchmark, VortexChat autonomously generates devices that strictly meet all predefined performance thresholds without any human-in-the-loop. As an experimental demonstration, we fabricated a broadband terahertz perfect vortex beam multiplexer, autonomously designed by VortexChat, with measurements confirming high-efficiency operation, high mode purity and low inter-channel crosstalk in agreement with full-wave simulations. These results demonstrate that an LLM agent can assume key aspects of expert decision-making in photonic inverse design while maintaining physical fidelity and fabrication feasibility, providing a scalable route towards autonomous design of complex integrated photonic systems.
