Explores Principal Component Analysis for dimensionality reduction in machine learning, showcasing its feature extraction and data preprocessing capabilities.
Explores diffusion mechanisms in solids, including vacancy and interstitial mechanisms, correlation between jumps, and structural influences on diffusion.
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