Learning Path

Materials Database and Informatics

Materials Science Fundamentals → Capstone Project: Data-Driven Materials Design

13 Knowledge Nodes · 13 Learning Steps · v0 Active

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 nodes19 edges3 relationships

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Learning Route

13 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

5 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps