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Learning Path
Materials Science Fundamentals → Capstone Project: Data-Driven Materials Design
This learning path equips graduate students and researchers with the knowledge and skills to apply data-driven approaches to materials discovery and design. It covers essential data science foundations, materials databases, machine learning for materials, and high-throughput screening strategies. The path emphasizes practical application through hands-on projects and case studies.
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13 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.