A multi-agentic framework for real-time, autonomous freeform metasurface design

• URL: http://arxiv.org/abs/2503.20479v1
• Date: Wed, 26 Mar 2025 12:10:45 GMT
• Title: A multi-agentic framework for real-time, autonomous freeform metasurface design
• Authors: Robert Lupoiu, Yixuan Shao, Tianxiang Dai, Chenkai Mao, Kofi Edee, Jonathan A. Fan,
• Abstract summary: We introduce MetaChat, a multi-agentic design framework that can translate semantically described photonic design goals into high-performance, freeform device layouts.<n>Design acceleration is facilitated by Feature-wise Linear Modulation-conditioned Maxwell surrogate solvers.<n>These concepts present a scientific computing blueprint for utilizing specialist design agents, surrogate solvers, and human interactions to drive multi-physics innovation and discovery.
• Score: 1.6712896227173812
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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