A Large Language Model Agent for Autonomous Inverse Metamaterial Design

W. J. Padilla, D. Lu, J. M. Malof

Research output: Contribution to journalConference articlepeer-review

Abstract

An agentic framework consists of large language models coordinating the completion of complex tasks and have recently shown novel results. We propose and demonstrate an agentic system capable of the inverse design of a material which achieves a desired spectra. The future of this rapidly growing field is discussed.

Original languageEnglish
Pages (from-to)123
Number of pages1
JournalInternational Conference on Metamaterials, Photonic Crystals and Plasmonics
StatePublished - 2025
Event15th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2025 - Malaga, Spain
Duration: Jul 22 2025Jul 25 2025

Fingerprint

Dive into the research topics of 'A Large Language Model Agent for Autonomous Inverse Metamaterial Design'. Together they form a unique fingerprint.

Cite this