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Learning Path
Density Functional Theory (DFT) Fundamentals → Programming for CSP
This path guides advanced students through the theory and practice of computational crystal structure prediction (CSP). Starting from fundamentals of DFT and energy landscapes, it covers global optimization methods including genetic algorithms and random structure search, and concludes with practical applications and validation. The path emphasizes the conceptual foundations and algorithmic strategies used to explore energy landscapes and predict stable crystal structures.
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14 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.