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Interpretable machine learning modeling of capacitive deionization for contribution analysis of electrode and process features

Farzin Saffarimiandoab, Riccardo Mattesini, Wanyi Fu, Erçan E. Kuruoğlu, Xihui Zhang

2020Journal of Materials Chemistry A35 citationsDOI

Abstract

State-of-the-art machine learning techniques are established to predict the performance of the capacitive deionization process and to determine the role of electrode and process features in desalination.

Topics & Concepts

Capacitive deionizationProcess (computing)Computer scienceElectrodeArtificial intelligenceCapacitive sensingProcess engineeringMachine learningEngineeringChemistryElectrochemistryPhysical chemistryOperating systemMembrane-based Ion Separation TechniquesMembrane Separation TechnologiesFuel Cells and Related Materials
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