Autonomous Multi-objective Alloy Design through Simulation-guided Optimization
The paper presents AutoMAT, an autonomous hierarchical framework that integrates large language models, automated CALPHAD simulations, and AI-guided optimization to efficiently discover and experimentally validate high-performance alloys, successfully identifying a lightweight titanium alloy and a high-entropy alloy with superior properties while compressing the discovery timeline from years to weeks.