mlsanityData to 14 Oct 2026

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

arXiv 2503.20479 ↗First posted 26 Mar 2025physics.app-ph cs.AI cs.MAcited by 14

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Abstract (arXiv)

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.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 34 of its 107 references that are in the map. First posted on arXiv 26 Mar 2025.

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34 of 107 references.

References · 34

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Citing papers per year: 2025: 7; 2026: 7.

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  1. 2026A Comprehensive Review of Large Language Models for Nanophotonics: From Surrogate Modeling to Autonomous Design
  2. 2025Meta-GPT: Decoding the Metasurface Genome with Generative Artificial Intelligence
  3. 2025A Multi-Agent Framework Integrating Large Language Models and Generative AI for Accelerated Metamaterial Design
  4. 2025AI Agents for Photonic Integrated Circuit Design Automation
  5. 2026METASYMBO: Multi-Agent Language-Guided Metamaterial Discovery via Symbolic Latent Evolution
  6. 2026OPTIAGENT: A Physics-Driven Agentic Framework for Automated Optical Design
  7. 2024Self-driving lab discovers principles for steering spontaneous emission
  8. 2025Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits