Materials Informatics: Accelerating Discovery Through AI-Driven Simulation

材料信息学：通过AI驱动模拟加速材料发现

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Materials informatics merges quantum chemistry simulations, high-throughput experimental data, and machine learning to predict properties — compressing decades of trial-and-error into months.
Traditional alloy development required synthesizing thousands of compositions; AI-guided workflows now narrow candidate space to <50 variants before lab synthesis begins.

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