AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design

1. 1Define the cross-physics objectives and constraints for the microstructure design problem
2. 2Implement the multi-agent evolutionary search algorithm to explore the vast and discontinuous search space
3. 3Evaluate the generated microstructures using physics-based simulations to ensure rigorous validity
4. 4Refine the search process based on the evaluation results to obtain optimal microstructures

Materials scientists and AI researchers on a team can benefit from AutoMS as it provides a novel approach to designing microstructures that satisfy coupled cross-physics objectives, and software engineers can implement and integrate the AutoMS framework

💡 AutoMS addresses the limitation of traditional topology optimization and deep generative models in cross-physics inverse microstructure design by using a multi-agent evolutionary search approach

🔍 AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design