用智能体自动设计光子超材料，按需生成特定光谱响应。
An Agentic Framework for Autonomous Metamaterial Modeling and Inverse Design
- 构建自主智能体，整合模型构建、仿真优化与决策规划。
- 可自动完成从目标光谱到超材料结构的逆向设计全过程。
- 适合需要快速探索新结构的光子器件研发人员使用。
近年来，多大型语言模型系统的融合推动了能够自主执行复杂任务的智能体框架的发展，包括新型科学研究。本文开发并验证了一个专门用于光子超材料逆向设计的智能体框架。当输入期望的光学频谱时，该智能体能自主提出并构建前向深度学习模型，通过API调用外部工具（如仿真与优化），利用记忆功能，并采用深度逆向方法生成最终设计方案。该框架展现出自动化、推理、规划与自适应能力。值得注意的是，其具备内部反思与决策灵活性，可产生多样且潜在新颖的设计输出。
原文摘要 · Abstract (English)
Recent significant advances in integrating multiple Large Language Model (LLM) systems have enabled Agentic Frameworks capable of performing complex tasks autonomously, including novel scientific research. We develop and demonstrate such a framework specifically for the inverse design of photonic metamaterials. When queried with a desired optical spectrum, the Agent autonomously proposes and develops a forward deep learning model, accesses external tools via APIs for tasks like simulation and optimization, utilizes memory, and generates a final design via a deep inverse method. The framework's effectiveness is demonstrated in its ability to automate, reason, plan, and adapt. Notably, the Agentic Framework possesses internal reflection and decision flexibility, permitting highly varied and potentially novel outputs.
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