Problem
Research questions and friction points this paper is trying to address.
integrated photonics
inverse design
end-to-end automation
expert supervision
manual simulation
VortexChat: An agentic framework for autonomous multi-objective integrated photonic design
🤖 AI Summary
为解决集成光子设计中依赖人工模拟和专家直觉的问题，提出VortexChat框架，通过结合大语言模型与拓扑生成、梯度优化等方法实现从自然语言到设备的自动化逆向设计。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
autonomous design
end-to-end inverse design
large language model (LLM)
integrated photonics
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