17 Jun 2025
AIMatDesign introduces a reinforcement learning framework that integrates large language models and expert knowledge to accelerate inverse materials design, particularly under data-scarce conditions. It achieved superior success rates and faster convergence in discovering novel Zr-based Bulk Metallic Glasses, with experimental validation showing a 4.9% average relative error for yield strength.
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