Computational ML-aided design tool with kernel-PCA for Predicting Magnesium Recovery from Desalination Brine

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This dataset is part of the experimental and computational work associated with the study titled “Computational ML-aided Design Tool with Kernel-PCA for Predicting Magnesium Recovery from Desalination Brine.” The data represent experiment LAB data for proposed machine learning framework submitted for the consideration in the Journal of Water Process Engineering. The full data and source codes employed for feature extraction, model optimization, and kernel principal component analysis (K-PCA) are available upon reasonable request to the corresponding author, in compliance with the journal’s data-sharing policy.

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