MetaChat让元表面设计自动实时完成，效率远超传统方法。
A multi-agentic framework for real-time, autonomous freeform metasurface design
- 多智能体协同推理，结合代码工具与人类设计者
- 用代理求解器加速评估，实现多波长多目标设计
- 适合光子学研发人员快速迭代创新
当前纳米光子学创新依赖专家结合光子学知识、编程与仿真优化，设计周期长、计算量大且常不理想。我们提出MetaChat多智能体框架，可将语义描述的设计目标自动转化为高性能自由形态器件布局，实现近实时设计。通过智能体迭代对话（AIM）机制，协调代码工具、专用智能体与人类设计师。借助特征线性调制条件下的麦克斯韦代理求解器，支持对元表面结构的通用高效评估。以自由形态介电元表面为模型系统，展示其在多目标、多波长设计上比传统方法快数个数量级。该框架为多物理场创新提供科学计算范式。
原文摘要 · Abstract (English)
Innovation in nanophotonics currently relies on human experts who synergize specialized knowledge in photonics and coding with simulation and optimization algorithms, entailing design cycles that are time-consuming, computationally demanding, and frequently suboptimal. We introduce MetaChat, a multi-agentic design framework that can translate semantically described photonic design goals into high-performance, freeform device layouts in an automated, nearly real-time manner. Multi-step reasoning is enabled by our Agentic Iterative Monologue (AIM) paradigm, which coherently interfaces agents with code-based tools, other specialized agents, and human designers. Design acceleration is facilitated by Feature-wise Linear Modulation-conditioned Maxwell surrogate solvers that support the generalized evaluation of metasurface structures. We use freeform dielectric metasurfaces as a model system and demonstrate with MetaChat the design of multi-objective, multi-wavelength metasurfaces orders of magnitude faster than conventional methods. These concepts present a scientific computing blueprint for utilizing specialist design agents, surrogate solvers, and human interactions to drive multi-physics innovation and discovery.
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