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Covers catalytic asymmetric reactions in organic chemistry, focusing on principles, applications, key parameters, and different modes of asymmetric induction.
Explores electrocatalysis for renewable energy storage, focusing on hydrogen and CO2 reactions, catalyst challenges, MoS2 potential, and computational design.
Delves into deep learning's dimensionality, data representation, and performance in classifying large-dimensional data, exploring the curse of dimensionality and the neural tangent kernel.
