CrossMatAgent represents a breakthrough multi-agent framework that combines large language models with generative AI to transform how metamaterials are designed and developed.

• Overcomes traditional trial-and-error limitations with AI-guided design processes
• Enhances data interoperability across metamaterial research domains
• Generates simulation-ready patterns optimized for 3D printing applications
• Demonstrates significant time and resource efficiency improvements

This innovation matters for engineering by enabling rapid prototyping of materials with exceptional mechanical, electromagnetic, and thermal properties—unlocking new possibilities for aerospace, manufacturing, and beyond.

A Multi-Agent Framework Integrating Large Language Models and Generative AI for Accelerated Metamaterial Design