METASYMBO: Multi-Agent Language-Guided Metamaterial Discovery via Symbolic Latent Evolution

ArXi:2604.27300v1 Announce Type: new Metamaterial discovery seeks microstructured materials whose geometry induces targeted mechanical behavior. Existing inverse-design methods can efficiently generate candidates, but they typically require explicit numerical property targets and are less suitable for early-stage exploration, where researchers often begin with incomplete constraints and qualitative intents expressed in natural language. Large language models can interpret such intents, but they lack geometric awareness and physical property validity.